diff --git a/HT_LLM/similarity/hybrid_performances_analysis.ipynb b/HT_LLM/similarity/hybrid_performances_analysis.ipynb
new file mode 100644
index 0000000..a6ff9eb
--- /dev/null
+++ b/HT_LLM/similarity/hybrid_performances_analysis.ipynb
@@ -0,0 +1,329 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "540e4c0d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import importlib\n",
+    "import re\n",
+    "\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "85b8b9c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "All methods: ['DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'CAP', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'DynamicPartialCorrelation', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'TemporalDerivativeMultiplication', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'PhaseLockingWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'SynchronyLikelihoodWindow', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'ReservoirEdgeDcc_hybrid', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'ChangepointRobustExp_hybrid', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'Clustering', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'RobustSlidingWindow', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'RobustVolatilitySliding_hybrid_ensemble', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'SpectralStates', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'AmplitudeEnvelopeCorrelation', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'MarkovSmoothedGMMStates', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'EdgeStftQuantum_hybrid', 'BirchStates', 'BirchStates', 'BirchStates', 'BirchStates', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'ContinuousHMM', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'PhaseLagIndexWindow', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'TangentSpaceFC', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'PooledKMeansStates', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'TemporalAsymmetryFC', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'EdgeCoactivation', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'DccEdgeExponential_hybrid', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'EventSynchronization', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'BayesianGaussianMixtureStates', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'KalmanCovariance', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'MiniBatchKMeansStates', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'LaggedKMeansStates', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'PointProcessConnectivity', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'AgglomerativeStates', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'ChangepointResetWindow', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'MarkovSmoothedKMeansStates', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'RandomFourierDependence', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'SpectralSimilarityFC', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'STFTCoherence', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'StateSpaceNeighborhoodFC', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'AdaptiveRandomSparse_hybrid', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'QuantumMutualInformationFC', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'DiscreteHMM', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'DerivativeWeightedWindow', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'PersistentHomologyFC', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'StftQuantumSparse_hybrid_ensemble', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'PrecisionShrinkageWindow', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'Time-Freq', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'RandomFourierKalman_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CAP', 'CAP', 'CAP', 'CAP', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'CurvatureCorrelationFC', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SparseDccExp_hybrid_ensemble', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'SlidingVolatilityDcc_hybrid', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'ExponentialWindow', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'OjaSubspaceConnectivity', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'InstantaneousPhaseCoherence', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'MutualCompressionFC', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'LeadingEigenvectorDynamics', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'StftExpKalman_hybrid', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'PhaseAmplitudeCrossFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'TimeReversalAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'PositiveNegativeAsymmetryFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'VolatilityWeightedFC', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'QuantumMultiscaleKalman_hybrid_ensemble', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'DifferentialCoactivationFC', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'CopulaTailDependence', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'ChangepointMultiscaleExp_hybrid_ensemble', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'RecurrenceKernelDependence', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveRobustDifferential_hybrid_ensemble', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'AdaptiveExponentialWindow', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'DCCConnectivity', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'ReservoirChangepointRobust_hybrid_ensemble', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'LocalJacobianCouplingFC', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'Windowless', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'MultiscaleWindow', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'NMFStates', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GraphDiffusionCoactivation', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'GaussianMixtureStates', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SlidingWindow', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'SparseCoactivationCodeFC', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'DccChangepointSparse_hybrid', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 'ReservoirEchoStateFC', 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'PointProcessConnectivity', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 'EdgeKalmanExp_hybrid_ensemble', 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'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'MultiscaleDccKalman_hybrid', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 'LaggedMaxCorrelation', 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'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'KalmanReservoirMultiscale_hybrid', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 'StftEdgeAdaptive_hybrid_ensemble', 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'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'RobustSparseEdge_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'AdaptiveEdgeKalman_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 'RobustDifferentialStft_hybrid', 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'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'QuantumRandomExp_hybrid', 'AgglomerativeStates', 'AgglomerativeStates', 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+     ]
+    }
+   ],
+   "source": [
+    "# Setup according to the performances dict structure\n",
+    "\n",
+    "working_dir = Path(\"/home/kinichen/projects/def-jbpoline/kinichen/dFC\")\n",
+    "output_root = working_dir / \"sample_data\" / \"hybrid\"\n",
+    "output_root.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "performances = np.load(\n",
+    "    working_dir / output_root / \"ALL_ML_SCORES_real.npy\", allow_pickle=True\n",
+    ").item()\n",
+    "# print(performances.keys())\n",
+    "\n",
+    "metric = \"SVM balanced accuracy\"\n",
+    "embedding = \"PLS\"\n",
+    "group = \"test\"\n",
+    "\n",
+    "tasks = performances[\"task\"]\n",
+    "methods = performances[\"dFC method\"]\n",
+    "runs = performances[\"run\"]\n",
+    "\n",
+    "all_embeddings = performances[\"embedding\"]\n",
+    "all_groups = performances[\"group\"]\n",
+    "all_metric_scores = performances[metric]\n",
+    "\n",
+    "print(f\"All methods: {methods}\")\n",
+    "print(f\"All tasks: {tasks}\")\n",
+    "print(f\"All runs: {runs}\")\n",
+    "print(f\"All embeddings: {all_embeddings}\")\n",
+    "print(f\"All groups: {all_groups}\")\n",
+    "print(f\"All metric scores: {all_metric_scores}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d9ae4010",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hybrid methods: {'AdaptiveRobustDifferential_hybrid_ensemble', 'EdgeRandomReservoir_hybrid_ensemble', 'ChangepointRobustExp_hybrid', 'AdaptiveQuantumReservoir_hybrid', 'RandomFourierKalman_hybrid', 'DifferentialEdgeKalman_hybrid', 'EdgeStftQuantum_hybrid', 'DccChangepointSparse_hybrid', 'DccEdgeExponential_hybrid', 'MultiscaleDccKalman_hybrid', 'StftQuantumSparse_hybrid_ensemble', 'ReservoirEdgeDcc_hybrid', 'EdgeKalmanExp_hybrid_ensemble', 'AdaptiveEdgeKalman_hybrid', 'RobustVolatilitySliding_hybrid_ensemble', 'DccKalmanVolatility_hybrid_ensemble', 'QuantumRandomExp_hybrid', 'RobustSparseEdge_hybrid', 'StftEdgeAdaptive_hybrid_ensemble', 'RobustDifferentialStft_hybrid', 'StftExpKalman_hybrid', 'SparseDccExp_hybrid_ensemble', 'SlidingVolatilityDcc_hybrid', 'QuantumMultiscaleKalman_hybrid_ensemble', 'KalmanReservoirMultiscale_hybrid', 'ReservoirChangepointRobust_hybrid_ensemble', 'AdaptiveRandomSparse_hybrid', 'VolatilityAdaptiveEdge_hybrid', 'ChangepointMultiscaleExp_hybrid_ensemble', 'AdaptiveDccRandom_hybrid_ensemble'}\n",
+      "Number of hybrid methods: 30\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Get a list of the hybrid methods. Only these will be plotted.\n",
+    "hybrid_methods = set([method for method in methods if \"hybrid\" in method.lower()])\n",
+    "print(f\"Hybrid methods: {hybrid_methods}\")\n",
+    "print(f\"Number of hybrid methods: {len(hybrid_methods)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9723fb94",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('VolatilityAdaptiveEdge_hybrid', 0.6454806707864877), ('VolatilityAdaptiveEdge_hybrid', 0.5663969663078429), ('VolatilityAdaptiveEdge_hybrid', 0.7610792249202846), ('VolatilityAdaptiveEdge_hybrid', 0.662266204978883), ('VolatilityAdaptiveEdge_hybrid', 0.7599870889344573), ('VolatilityAdaptiveEdge_hybrid', 0.6663763862371532), ('VolatilityAdaptiveEdge_hybrid', 0.6416803805721172), ('VolatilityAdaptiveEdge_hybrid', 0.6704527557231399), ('StftQuantumSparse_hybrid_ensemble', 0.564740055940417), ('StftQuantumSparse_hybrid_ensemble', 0.5526807509049394), ('StftQuantumSparse_hybrid_ensemble', 0.6635824696458013), ('StftQuantumSparse_hybrid_ensemble', 0.5866405468272842), ('StftQuantumSparse_hybrid_ensemble', 0.66315988523735), ('StftQuantumSparse_hybrid_ensemble', 0.6322675917678495), ('StftQuantumSparse_hybrid_ensemble', 0.5870864443474897), ('StftQuantumSparse_hybrid_ensemble', 0.5902565024384144), ('DccChangepointSparse_hybrid', 0.5169518089344577), ('DccChangepointSparse_hybrid', 0.5334736185800015), ('DccChangepointSparse_hybrid', 0.5884596988890335), ('DccChangepointSparse_hybrid', 0.5797180043383948), ('DccChangepointSparse_hybrid', 0.5580167021559755), ('DccChangepointSparse_hybrid', 0.5655730333880226), ('DccChangepointSparse_hybrid', 0.5638203085135612), ('DccChangepointSparse_hybrid', 0.5537567153720381), ('RandomFourierKalman_hybrid', 0.6073819587519381), ('RandomFourierKalman_hybrid', 0.6622583147475221), ('RandomFourierKalman_hybrid', 0.6844862236510296), ('RandomFourierKalman_hybrid', 0.6650469711694202), ('RandomFourierKalman_hybrid', 0.7210672216409048), ('RandomFourierKalman_hybrid', 0.697411586784551), ('RandomFourierKalman_hybrid', 0.6383228840125392), ('RandomFourierKalman_hybrid', 0.6848597071099423), ('AdaptiveRandomSparse_hybrid', 0.5075746913185337), ('AdaptiveRandomSparse_hybrid', 0.5358444465030887), ('AdaptiveRandomSparse_hybrid', 0.5902565693198447), ('AdaptiveRandomSparse_hybrid', 0.5441682022189762), ('AdaptiveRandomSparse_hybrid', 0.5736673958093483), ('AdaptiveRandomSparse_hybrid', 0.5387221453600062), ('AdaptiveRandomSparse_hybrid', 0.5193633952254642), ('AdaptiveRandomSparse_hybrid', 0.5133928889331976), ('AdaptiveQuantumReservoir_hybrid', 0.5677391094193704), ('AdaptiveQuantumReservoir_hybrid', 0.5725352924964978), ('AdaptiveQuantumReservoir_hybrid', 0.7643826022074558), ('AdaptiveQuantumReservoir_hybrid', 0.7283944394600752), ('AdaptiveQuantumReservoir_hybrid', 0.7355366662847642), ('AdaptiveQuantumReservoir_hybrid', 0.6738715190509701), ('AdaptiveQuantumReservoir_hybrid', 0.647451724276366), ('AdaptiveQuantumReservoir_hybrid', 0.6627431794635663), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6285753312116644), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.5651314083167632), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.7483757525183287), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.7196407874441182), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6892442699485987), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6855070366976674), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6418283628205006), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.706469562044628), ('ReservoirChangepointRobust_hybrid_ensemble', 0.5948707558012077), ('ReservoirChangepointRobust_hybrid_ensemble', 0.5845391174070911), ('ReservoirChangepointRobust_hybrid_ensemble', 0.7534604240226737), ('ReservoirChangepointRobust_hybrid_ensemble', 0.6531299251141904), ('ReservoirChangepointRobust_hybrid_ensemble', 0.7353026144734942), ('ReservoirChangepointRobust_hybrid_ensemble', 0.6637134171875242), ('ReservoirChangepointRobust_hybrid_ensemble', 0.6499639207568624), ('ReservoirChangepointRobust_hybrid_ensemble', 0.704622144841023), ('StftExpKalman_hybrid', 0.5694094025067943), ('StftExpKalman_hybrid', 0.5868027058835855), ('StftExpKalman_hybrid', 0.6809735996594962), ('StftExpKalman_hybrid', 0.654881093553549), ('StftExpKalman_hybrid', 0.6962762933484934), ('StftExpKalman_hybrid', 0.6429126215787516), ('StftExpKalman_hybrid', 0.6692697768762677), ('StftExpKalman_hybrid', 0.6589894821825032), ('DifferentialEdgeKalman_hybrid', 0.6147923247923248), ('DifferentialEdgeKalman_hybrid', 0.5401853347480219), ('DifferentialEdgeKalman_hybrid', 0.7013625172140383), ('DifferentialEdgeKalman_hybrid', 0.7074822611205398), ('DifferentialEdgeKalman_hybrid', 0.6549890171072668), ('DifferentialEdgeKalman_hybrid', 0.6292407068830721), ('DifferentialEdgeKalman_hybrid', 0.6583495145631069), ('DifferentialEdgeKalman_hybrid', 0.6825744290580718), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.678234426305425), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.6290171107947529), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.8008481032961745), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.7310739967059012), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.7200948755646561), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.6955061219259311), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.7118818218568925), ('QuantumMultiscaleKalman_hybrid_ensemble', 0.6010924221024614), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.5994428742465421), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.635311858770254), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.736138482023968), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.649278454200509), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.7377025512455304), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.6444707320111036), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.6835902171352136), ('AdaptiveRobustDifferential_hybrid_ensemble', 0.6715754563155978), ('SparseDccExp_hybrid_ensemble', 0.5846187339949777), ('SparseDccExp_hybrid_ensemble', 0.5517205829324618), ('SparseDccExp_hybrid_ensemble', 0.6801927852927508), ('SparseDccExp_hybrid_ensemble', 0.6412354382280886), ('SparseDccExp_hybrid_ensemble', 0.6582274973660631), ('SparseDccExp_hybrid_ensemble', 0.6298921555677165), ('SparseDccExp_hybrid_ensemble', 0.5932379929964471), ('SparseDccExp_hybrid_ensemble', 0.596311475409836), ('SlidingVolatilityDcc_hybrid', 0.5829664119951317), ('SlidingVolatilityDcc_hybrid', 0.5672779967272811), ('SlidingVolatilityDcc_hybrid', 0.6946437235738545), ('SlidingVolatilityDcc_hybrid', 0.6715507693593664), ('SlidingVolatilityDcc_hybrid', 0.7072548886874419), ('SlidingVolatilityDcc_hybrid', 0.6474516802641803), ('SlidingVolatilityDcc_hybrid', 0.6047298874725685), ('SlidingVolatilityDcc_hybrid', 0.6853967213626397), ('AdaptiveEdgeKalman_hybrid', 0.5982935663400917), ('AdaptiveEdgeKalman_hybrid', 0.5908616976098022), ('AdaptiveEdgeKalman_hybrid', 0.7261218165274812), ('AdaptiveEdgeKalman_hybrid', 0.6719106425128063), ('AdaptiveEdgeKalman_hybrid', 0.6575295602213848), ('AdaptiveEdgeKalman_hybrid', 0.6107934922061025), ('AdaptiveEdgeKalman_hybrid', 0.6204328031350852), ('AdaptiveEdgeKalman_hybrid', 0.582182103610675), ('RobustSparseEdge_hybrid', 0.5996043666715684), ('RobustSparseEdge_hybrid', 0.6064056120982118), ('RobustSparseEdge_hybrid', 0.6944797115433446), ('RobustSparseEdge_hybrid', 0.6908936381344408), ('RobustSparseEdge_hybrid', 0.7070634600205872), ('RobustSparseEdge_hybrid', 0.6447086921925904), ('RobustSparseEdge_hybrid', 0.641927709412973), ('RobustSparseEdge_hybrid', 0.6746309747674004), ('RobustDifferentialStft_hybrid', 0.600795505117935), ('RobustDifferentialStft_hybrid', 0.5718695097109332), ('RobustDifferentialStft_hybrid', 0.7103849703991343), ('RobustDifferentialStft_hybrid', 0.6731872614817739), ('RobustDifferentialStft_hybrid', 0.7347025656964502), ('RobustDifferentialStft_hybrid', 0.6779761904761905), ('RobustDifferentialStft_hybrid', 0.7055944055944056), ('RobustDifferentialStft_hybrid', 0.6891491851595007), ('QuantumRandomExp_hybrid', 0.571234243697479), ('QuantumRandomExp_hybrid', 0.5855988153384097), ('QuantumRandomExp_hybrid', 0.7304719838379434), ('QuantumRandomExp_hybrid', 0.6964489934129403), ('QuantumRandomExp_hybrid', 0.6854569545910328), ('QuantumRandomExp_hybrid', 0.6782659973958824), ('QuantumRandomExp_hybrid', 0.6907797681770285), ('QuantumRandomExp_hybrid', 0.6106106106106106), ('EdgeRandomReservoir_hybrid_ensemble', 0.6178142931664059), ('EdgeRandomReservoir_hybrid_ensemble', 0.5726466958970097), ('EdgeRandomReservoir_hybrid_ensemble', 0.691705010599533), ('EdgeRandomReservoir_hybrid_ensemble', 0.6501935203913801), ('EdgeRandomReservoir_hybrid_ensemble', 0.670629117104517), ('EdgeRandomReservoir_hybrid_ensemble', 0.6486823327942156), ('EdgeRandomReservoir_hybrid_ensemble', 0.6599632992344877), ('EdgeRandomReservoir_hybrid_ensemble', 0.6009386659296839), ('DccEdgeExponential_hybrid', 0.580907374089672), ('DccEdgeExponential_hybrid', 0.5531288031408357), ('DccEdgeExponential_hybrid', 0.6717697141898757), ('DccEdgeExponential_hybrid', 0.623005645557192), ('DccEdgeExponential_hybrid', 0.6041602834759432), ('DccEdgeExponential_hybrid', 0.5804207364781303), ('DccEdgeExponential_hybrid', 0.5478137143643179), ('DccEdgeExponential_hybrid', 0.5710582274913694), ('StftEdgeAdaptive_hybrid_ensemble', 0.556589023515873), ('StftEdgeAdaptive_hybrid_ensemble', 0.5298409446921316), ('StftEdgeAdaptive_hybrid_ensemble', 0.7328644619920417), ('StftEdgeAdaptive_hybrid_ensemble', 0.6469574230764897), ('StftEdgeAdaptive_hybrid_ensemble', 0.6546561454849498), ('StftEdgeAdaptive_hybrid_ensemble', 0.6157175787586442), ('StftEdgeAdaptive_hybrid_ensemble', 0.6025189834496404), ('StftEdgeAdaptive_hybrid_ensemble', 0.6233906019353781), ('RobustVolatilitySliding_hybrid_ensemble', 0.624848208478339), ('RobustVolatilitySliding_hybrid_ensemble', 0.5842794840181809), ('RobustVolatilitySliding_hybrid_ensemble', 0.7533384932920537), ('RobustVolatilitySliding_hybrid_ensemble', 0.6829896907216495), ('RobustVolatilitySliding_hybrid_ensemble', 0.7496826923076922), ('RobustVolatilitySliding_hybrid_ensemble', 0.7470592321585698), ('RobustVolatilitySliding_hybrid_ensemble', 0.6540964104058171), ('RobustVolatilitySliding_hybrid_ensemble', 0.666499148510332), ('MultiscaleDccKalman_hybrid', 0.6031490633260544), ('MultiscaleDccKalman_hybrid', 0.5693440878283762), ('MultiscaleDccKalman_hybrid', 0.7564282998664114), ('MultiscaleDccKalman_hybrid', 0.7078681552365762), ('MultiscaleDccKalman_hybrid', 0.7099160099317254), ('MultiscaleDccKalman_hybrid', 0.7185173366070698), ('MultiscaleDccKalman_hybrid', 0.7308823155054349), ('MultiscaleDccKalman_hybrid', 0.6928374655647382), ('AdaptiveDccRandom_hybrid_ensemble', 0.6590526926682638), ('AdaptiveDccRandom_hybrid_ensemble', 0.614467396677502), ('AdaptiveDccRandom_hybrid_ensemble', 0.7920843689588511), ('AdaptiveDccRandom_hybrid_ensemble', 0.6942107784006244), ('AdaptiveDccRandom_hybrid_ensemble', 0.768762781186094), ('AdaptiveDccRandom_hybrid_ensemble', 0.7568249209096221), ('AdaptiveDccRandom_hybrid_ensemble', 0.637155198578347), ('AdaptiveDccRandom_hybrid_ensemble', 0.6584699453551912), ('EdgeStftQuantum_hybrid', 0.5471084535958879), ('EdgeStftQuantum_hybrid', 0.5364780116194068), ('EdgeStftQuantum_hybrid', 0.6583699365544168), ('EdgeStftQuantum_hybrid', 0.6140080526695808), ('EdgeStftQuantum_hybrid', 0.6159848145966673), ('EdgeStftQuantum_hybrid', 0.6070527052393363), ('EdgeStftQuantum_hybrid', 0.5646310013717422), ('EdgeStftQuantum_hybrid', 0.6215975544922914), ('KalmanReservoirMultiscale_hybrid', 0.5953755490409918), ('KalmanReservoirMultiscale_hybrid', 0.6146435300443244), ('KalmanReservoirMultiscale_hybrid', 0.6759683913614538), ('KalmanReservoirMultiscale_hybrid', 0.6418763288447908), ('KalmanReservoirMultiscale_hybrid', 0.7112160688607901), ('KalmanReservoirMultiscale_hybrid', 0.6390303744540322), ('KalmanReservoirMultiscale_hybrid', 0.6284128483703354), ('KalmanReservoirMultiscale_hybrid', 0.6749013257767432), ('DccKalmanVolatility_hybrid_ensemble', 0.6046172170582466), ('DccKalmanVolatility_hybrid_ensemble', 0.6468853922896909), ('DccKalmanVolatility_hybrid_ensemble', 0.716473490667039), 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('ReservoirEdgeDcc_hybrid', 0.6631027489860297), ('ReservoirEdgeDcc_hybrid', 0.58595155043623), ('ReservoirEdgeDcc_hybrid', 0.5752108983128135), ('ChangepointRobustExp_hybrid', 0.5802318052318052), ('ChangepointRobustExp_hybrid', 0.5525253405361448), ('ChangepointRobustExp_hybrid', 0.6905386236726703), ('ChangepointRobustExp_hybrid', 0.6410007497312284), ('ChangepointRobustExp_hybrid', 0.6428644271210167), ('ChangepointRobustExp_hybrid', 0.6444515139557818), ('ChangepointRobustExp_hybrid', 0.6157627223702969), ('ChangepointRobustExp_hybrid', 0.5687024601523057), ('StftEdgeAdaptive_hybrid_ensemble', 0.5592384708737864), ('StftEdgeAdaptive_hybrid_ensemble', 0.5148276156340672), ('RobustVolatilitySliding_hybrid_ensemble', 0.5117038824669615), ('RobustVolatilitySliding_hybrid_ensemble', 0.5119077643667808), ('AdaptiveDccRandom_hybrid_ensemble', 0.5174814003377607), ('AdaptiveDccRandom_hybrid_ensemble', 0.5357975616355505), ('MultiscaleDccKalman_hybrid', 0.48837506387327545), 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0.482037529167747), ('DccChangepointSparse_hybrid', 0.48576902025177887), ('RandomFourierKalman_hybrid', 0.5856882865440465), ('RandomFourierKalman_hybrid', 0.5022874571101792), ('RandomFourierKalman_hybrid', 0.5073540532365397), ('RandomFourierKalman_hybrid', 0.5422160243407708), ('RandomFourierKalman_hybrid', 0.5512193227710469), ('RandomFourierKalman_hybrid', 0.5578304597701149), ('RandomFourierKalman_hybrid', 0.5328827063740856), ('RandomFourierKalman_hybrid', 0.5304073761991185), ('RandomFourierKalman_hybrid', 0.5169981627925553), ('RandomFourierKalman_hybrid', 0.5143849206349206), ('AdaptiveRandomSparse_hybrid', 0.5336802950737685), ('AdaptiveRandomSparse_hybrid', 0.5164728682170543), ('AdaptiveRandomSparse_hybrid', 0.5293216878402904), ('AdaptiveRandomSparse_hybrid', 0.5158189655172414), ('AdaptiveRandomSparse_hybrid', 0.4999569583931133), ('AdaptiveRandomSparse_hybrid', 0.4930726600985222), ('AdaptiveRandomSparse_hybrid', 0.5100749110876082), ('AdaptiveRandomSparse_hybrid', 0.5271989240342235), ('AdaptiveRandomSparse_hybrid', 0.5169193842714116), ('AdaptiveRandomSparse_hybrid', 0.5036096193706425), ('VolatilityAdaptiveEdge_hybrid', 0.5310077519379846), ('VolatilityAdaptiveEdge_hybrid', 0.538049873462611), ('VolatilityAdaptiveEdge_hybrid', 0.5349673202614379), ('VolatilityAdaptiveEdge_hybrid', 0.5186688065126923), ('VolatilityAdaptiveEdge_hybrid', 0.5581896551724138), ('VolatilityAdaptiveEdge_hybrid', 0.5229572713643178), ('VolatilityAdaptiveEdge_hybrid', 0.533949758991472), ('VolatilityAdaptiveEdge_hybrid', 0.5144741198543208), ('VolatilityAdaptiveEdge_hybrid', 0.5100602132140037), ('VolatilityAdaptiveEdge_hybrid', 0.5576529534105191), ('StftQuantumSparse_hybrid_ensemble', 0.5384994234095715), ('StftQuantumSparse_hybrid_ensemble', 0.5257131782945736), ('StftQuantumSparse_hybrid_ensemble', 0.5034817429075608), ('StftQuantumSparse_hybrid_ensemble', 0.5155480295566502), ('StftQuantumSparse_hybrid_ensemble', 0.4923512642307477), ('StftQuantumSparse_hybrid_ensemble', 0.4886452906640205), ('StftQuantumSparse_hybrid_ensemble', 0.5346080593424218), ('StftQuantumSparse_hybrid_ensemble', 0.5167505703255242), ('StftQuantumSparse_hybrid_ensemble', 0.5), ('StftQuantumSparse_hybrid_ensemble', 0.4952769625825385), ('AdaptiveDccRandom_hybrid_ensemble', 0.6470367591897974), ('AdaptiveDccRandom_hybrid_ensemble', 0.6274263565891472), ('AdaptiveDccRandom_hybrid_ensemble', 0.6261853448275863), ('AdaptiveDccRandom_hybrid_ensemble', 0.5594505047979246), ('AdaptiveDccRandom_hybrid_ensemble', 0.5760233500799269), ('AdaptiveDccRandom_hybrid_ensemble', 0.5340547811200782), ('AdaptiveDccRandom_hybrid_ensemble', 0.5434974045235447), ('AdaptiveDccRandom_hybrid_ensemble', 0.602076311468326), ('AdaptiveDccRandom_hybrid_ensemble', 0.5236646382691008), ('AdaptiveDccRandom_hybrid_ensemble', 0.5709104289318755), ('ReservoirEdgeDcc_hybrid', 0.5222535365206258), ('ReservoirEdgeDcc_hybrid', 0.5570769005276529), ('ReservoirEdgeDcc_hybrid', 0.5469246077660017), ('ReservoirEdgeDcc_hybrid', 0.5174083292860612), ('ReservoirEdgeDcc_hybrid', 0.5032208647331964), ('ReservoirEdgeDcc_hybrid', 0.5232975808607324), ('ReservoirEdgeDcc_hybrid', 0.5023384513184258), ('ReservoirEdgeDcc_hybrid', 0.5274215026633025), ('ReservoirEdgeDcc_hybrid', 0.5100819554277498), ('ReservoirEdgeDcc_hybrid', 0.5131020799124247), ('ChangepointRobustExp_hybrid', 0.5648907103825136), ('ChangepointRobustExp_hybrid', 0.5064234808702176), ('ChangepointRobustExp_hybrid', 0.5138085624909065), ('ChangepointRobustExp_hybrid', 0.5147459165154266), ('ChangepointRobustExp_hybrid', 0.5196950380443581), ('ChangepointRobustExp_hybrid', 0.5007902298850575), ('ChangepointRobustExp_hybrid', 0.5283866995073891), ('ChangepointRobustExp_hybrid', 0.5056198524753371), ('ChangepointRobustExp_hybrid', 0.49859468076180885), ('ChangepointRobustExp_hybrid', 0.5287917606066816), ('DccKalmanVolatility_hybrid_ensemble', 0.5814184200812108), ('DccKalmanVolatility_hybrid_ensemble', 0.585446054136485), ('DccKalmanVolatility_hybrid_ensemble', 0.5893826873984683), ('DccKalmanVolatility_hybrid_ensemble', 0.5793244112209629), ('DccKalmanVolatility_hybrid_ensemble', 0.5847542912585284), ('DccKalmanVolatility_hybrid_ensemble', 0.5274902466649887), ('DccKalmanVolatility_hybrid_ensemble', 0.52640385896595), ('DccKalmanVolatility_hybrid_ensemble', 0.5444364623243934), ('DccKalmanVolatility_hybrid_ensemble', 0.5526485456391999), ('DccKalmanVolatility_hybrid_ensemble', 0.6100974418805635), ('EdgeKalmanExp_hybrid_ensemble', 0.5184108527131783), ('EdgeKalmanExp_hybrid_ensemble', 0.5040697674418605), ('EdgeKalmanExp_hybrid_ensemble', 0.505826251701431), ('EdgeKalmanExp_hybrid_ensemble', 0.515141746726477), ('EdgeKalmanExp_hybrid_ensemble', 0.5153615026428392), ('EdgeKalmanExp_hybrid_ensemble', 0.48415136265603553), ('EdgeKalmanExp_hybrid_ensemble', 0.49932728923710323), ('EdgeKalmanExp_hybrid_ensemble', 0.5114770114942528), ('EdgeKalmanExp_hybrid_ensemble', 0.49422996448383527), ('EdgeKalmanExp_hybrid_ensemble', 0.5089448416035884), ('MultiscaleDccKalman_hybrid', 0.605562672447773), ('MultiscaleDccKalman_hybrid', 0.5776009518851788), ('MultiscaleDccKalman_hybrid', 0.61502385599653), ('MultiscaleDccKalman_hybrid', 0.5620069867027271), ('MultiscaleDccKalman_hybrid', 0.5518303788246721), ('MultiscaleDccKalman_hybrid', 0.5633400867045727), ('MultiscaleDccKalman_hybrid', 0.5568064848172929), ('MultiscaleDccKalman_hybrid', 0.5305255606735634), ('MultiscaleDccKalman_hybrid', 0.527403133110864), ('MultiscaleDccKalman_hybrid', 0.5703239780485697), ('EdgeStftQuantum_hybrid', 0.5208412758927436), ('EdgeStftQuantum_hybrid', 0.4978493098884477), ('EdgeStftQuantum_hybrid', 0.5058062345409573), ('EdgeStftQuantum_hybrid', 0.49954678700918), ('EdgeStftQuantum_hybrid', 0.5125806420129028), ('EdgeStftQuantum_hybrid', 0.5042145593869731), ('EdgeStftQuantum_hybrid', 0.4904649947753396), ('EdgeStftQuantum_hybrid', 0.5025561347233359), ('EdgeStftQuantum_hybrid', 0.4950031928480204), ('EdgeStftQuantum_hybrid', 0.4894010550694802), ('KalmanReservoirMultiscale_hybrid', 0.5222692142891149), ('KalmanReservoirMultiscale_hybrid', 0.5500185373244999), ('KalmanReservoirMultiscale_hybrid', 0.5149848557309102), ('KalmanReservoirMultiscale_hybrid', 0.533468726976618), ('KalmanReservoirMultiscale_hybrid', 0.5157816703350452), ('KalmanReservoirMultiscale_hybrid', 0.5097901002506265), ('KalmanReservoirMultiscale_hybrid', 0.5357813881520778), ('KalmanReservoirMultiscale_hybrid', 0.5199896418070035), ('KalmanReservoirMultiscale_hybrid', 0.518028185393496), ('KalmanReservoirMultiscale_hybrid', 0.5254439890710383), ('StftEdgeAdaptive_hybrid_ensemble', 0.5356997144022848), ('StftEdgeAdaptive_hybrid_ensemble', 0.5261676499508358), ('StftEdgeAdaptive_hybrid_ensemble', 0.5098419540229885), ('StftEdgeAdaptive_hybrid_ensemble', 0.5091556615309366), ('StftEdgeAdaptive_hybrid_ensemble', 0.5067791808321191), ('StftEdgeAdaptive_hybrid_ensemble', 0.5277298850574713), ('StftEdgeAdaptive_hybrid_ensemble', 0.48888102590495797), ('StftEdgeAdaptive_hybrid_ensemble', 0.5173027053546397), ('StftEdgeAdaptive_hybrid_ensemble', 0.5148671853097841), ('StftEdgeAdaptive_hybrid_ensemble', 0.5057530635508691), ('RobustVolatilitySliding_hybrid_ensemble', 0.5746227215080634), ('RobustVolatilitySliding_hybrid_ensemble', 0.577691297824456), ('RobustVolatilitySliding_hybrid_ensemble', 0.5486538179954609), ('RobustVolatilitySliding_hybrid_ensemble', 0.521488069256511), ('RobustVolatilitySliding_hybrid_ensemble', 0.6057368637110017), ('RobustVolatilitySliding_hybrid_ensemble', 0.5096323154023276), ('RobustVolatilitySliding_hybrid_ensemble', 0.5399280575539568), ('RobustVolatilitySliding_hybrid_ensemble', 0.534450104493208), ('RobustVolatilitySliding_hybrid_ensemble', 0.5466588739528541), ('RobustVolatilitySliding_hybrid_ensemble', 0.5368244858919178), ('EdgeRandomReservoir_hybrid_ensemble', 0.5289435541658524), ('EdgeRandomReservoir_hybrid_ensemble', 0.513471355643789), ('EdgeRandomReservoir_hybrid_ensemble', 0.5142465590453181), ('EdgeRandomReservoir_hybrid_ensemble', 0.5405602838524153), ('EdgeRandomReservoir_hybrid_ensemble', 0.4790626494500239), ('EdgeRandomReservoir_hybrid_ensemble', 0.4916427203065134), ('EdgeRandomReservoir_hybrid_ensemble', 0.5082310622090562), ('EdgeRandomReservoir_hybrid_ensemble', 0.463263078106616), ('EdgeRandomReservoir_hybrid_ensemble', 0.5163036325348777), ('EdgeRandomReservoir_hybrid_ensemble', 0.5222381635581061), ('DccEdgeExponential_hybrid', 0.5369707811568276), ('DccEdgeExponential_hybrid', 0.5375093773443361), ('DccEdgeExponential_hybrid', 0.5173362027737924), ('DccEdgeExponential_hybrid', 0.5192307692307693), ('DccEdgeExponential_hybrid', 0.49014045273281726), ('DccEdgeExponential_hybrid', 0.5282926473499412), ('DccEdgeExponential_hybrid', 0.5066002155172413), ('DccEdgeExponential_hybrid', 0.5003827491991709), ('DccEdgeExponential_hybrid', 0.5027738482327604), ('DccEdgeExponential_hybrid', 0.4974368775461048), ('RobustSparseEdge_hybrid', 0.5215366341585397), ('RobustSparseEdge_hybrid', 0.5260690172543135), ('RobustSparseEdge_hybrid', 0.5502995597932306), ('RobustSparseEdge_hybrid', 0.5374104778458262), ('RobustSparseEdge_hybrid', 0.5425755033557047), ('RobustSparseEdge_hybrid', 0.5428053925165077), ('RobustSparseEdge_hybrid', 0.5393371017471738), ('RobustSparseEdge_hybrid', 0.5158129510825983), ('RobustSparseEdge_hybrid', 0.49501819734004315), ('RobustSparseEdge_hybrid', 0.5183373185669938), ('AdaptiveEdgeKalman_hybrid', 0.5375864885642898), ('AdaptiveEdgeKalman_hybrid', 0.4923301800026278), ('AdaptiveEdgeKalman_hybrid', 0.5392596733656336), ('AdaptiveEdgeKalman_hybrid', 0.517631144534116), ('AdaptiveEdgeKalman_hybrid', 0.5111044876497921), ('AdaptiveEdgeKalman_hybrid', 0.5162260159290434), ('AdaptiveEdgeKalman_hybrid', 0.5166456405943369), ('AdaptiveEdgeKalman_hybrid', 0.5310530218761587), ('AdaptiveEdgeKalman_hybrid', 0.5252498750624688), ('AdaptiveEdgeKalman_hybrid', 0.5224697522565777), ('RobustDifferentialStft_hybrid', 0.522310846306618), ('RobustDifferentialStft_hybrid', 0.5405193798449612), ('RobustDifferentialStft_hybrid', 0.5160503629764065), ('RobustDifferentialStft_hybrid', 0.5269723092998955), ('RobustDifferentialStft_hybrid', 0.528297208554399), ('RobustDifferentialStft_hybrid', 0.5427040694063391), ('RobustDifferentialStft_hybrid', 0.48531362410071943), ('RobustDifferentialStft_hybrid', 0.5470048629531389), ('RobustDifferentialStft_hybrid', 0.5383508577753182), ('RobustDifferentialStft_hybrid', 0.544705050631069), ('QuantumRandomExp_hybrid', 0.5337105195720417), ('QuantumRandomExp_hybrid', 0.5185229675187392), ('QuantumRandomExp_hybrid', 0.5154630958074287), ('QuantumRandomExp_hybrid', 0.5404034206750736), ('QuantumRandomExp_hybrid', 0.5500293427230047), ('QuantumRandomExp_hybrid', 0.5469348659003832), ('QuantumRandomExp_hybrid', 0.5388631903560415), ('QuantumRandomExp_hybrid', 0.5590094981135387), ('QuantumRandomExp_hybrid', 0.5550181905322092), ('QuantumRandomExp_hybrid', 0.5178530975933378)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Filter for scores that have a specific embedding, group, and method (only hybrids) using zip,\n",
+    "# and keep the corresponding task, dFC method, and run labels for each score\n",
+    "filtered_rows = [\n",
+    "    (method, score)\n",
+    "    for emb, grp, task, method, run, score in zip(\n",
+    "        all_embeddings, all_groups, tasks, methods, runs, all_metric_scores\n",
+    "    )\n",
+    "    if emb == embedding and grp == group and method in hybrid_methods\n",
+    "]\n",
+    "print(filtered_rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "37ab9337",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('VolatilityAdaptiveEdge_hybrid', 0.6454806707864877, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.5663969663078429, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.7610792249202846, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.662266204978883, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.7599870889344573, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.6663763862371532, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.6416803805721172, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('VolatilityAdaptiveEdge_hybrid', 0.6704527557231399, ['VolatilityWeightedFC', 'AdaptiveExponentialWindow', 'EdgeCoactivation'], 'change'), ('StftQuantumSparse_hybrid_ensemble', 0.564740055940417, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.5526807509049394, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.6635824696458013, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.5866405468272842, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.66315988523735, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.6322675917678495, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.5870864443474897, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('StftQuantumSparse_hybrid_ensemble', 0.5902565024384144, ['Time-Freq', 'QuantumMutualInformationFC', 'SparseCoactivationCodeFC'], 'mean'), ('DccChangepointSparse_hybrid', 0.5169518089344577, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5334736185800015, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5884596988890335, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5797180043383948, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5580167021559755, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5655730333880226, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5638203085135612, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('DccChangepointSparse_hybrid', 0.5537567153720381, ['DCCConnectivity', 'ChangepointResetWindow', 'SparseCoactivationCodeFC'], 'sparse'), ('RandomFourierKalman_hybrid', 0.6073819587519381, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.6622583147475221, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.6844862236510296, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.6650469711694202, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.7210672216409048, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.697411586784551, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.6383228840125392, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('RandomFourierKalman_hybrid', 0.6848597071099423, ['RandomFourierDependence', 'KalmanCovariance', 'ExponentialWindow'], 'kernel'), ('AdaptiveRandomSparse_hybrid', 0.5075746913185337, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5358444465030887, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5902565693198447, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5441682022189762, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5736673958093483, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5387221453600062, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5193633952254642, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveRandomSparse_hybrid', 0.5133928889331976, ['AdaptiveExponentialWindow', 'RandomFourierDependence', 'SparseCoactivationCodeFC'], 'sparse'), ('AdaptiveQuantumReservoir_hybrid', 0.5677391094193704, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.5725352924964978, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.7643826022074558, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.7283944394600752, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.7355366662847642, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.6738715190509701, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.647451724276366, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('AdaptiveQuantumReservoir_hybrid', 0.6627431794635663, ['AdaptiveExponentialWindow', 'QuantumMutualInformationFC', 'ReservoirEchoStateFC'], 'kernel'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6285753312116644, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.5651314083167632, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.7483757525183287, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.7196407874441182, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6892442699485987, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6855070366976674, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.6418283628205006, ['ChangepointResetWindow', 'MultiscaleWindow', 'ExponentialWindow'], 'mean'), ('ChangepointMultiscaleExp_hybrid_ensemble', 0.706469562044628, 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'residual'), ('DccEdgeExponential_hybrid', 0.4974368775461048, ['DCCConnectivity', 'EdgeCoactivation', 'ExponentialWindow'], 'residual'), ('RobustSparseEdge_hybrid', 0.5215366341585397, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5260690172543135, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5502995597932306, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5374104778458262, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5425755033557047, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5428053925165077, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5393371017471738, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5158129510825983, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.49501819734004315, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('RobustSparseEdge_hybrid', 0.5183373185669938, ['RobustSlidingWindow', 'SparseCoactivationCodeFC', 'EdgeCoactivation'], 'residual'), ('AdaptiveEdgeKalman_hybrid', 0.5375864885642898, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.4923301800026278, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5392596733656336, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.517631144534116, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5111044876497921, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5162260159290434, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5166456405943369, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5310530218761587, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5252498750624688, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('AdaptiveEdgeKalman_hybrid', 0.5224697522565777, ['AdaptiveExponentialWindow', 'EdgeCoactivation', 'KalmanCovariance'], 'adaptive_gate'), ('RobustDifferentialStft_hybrid', 0.522310846306618, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.5405193798449612, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.5160503629764065, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.5269723092998955, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.528297208554399, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.5427040694063391, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.48531362410071943, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.5470048629531389, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.5383508577753182, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('RobustDifferentialStft_hybrid', 0.544705050631069, ['RobustSlidingWindow', 'DifferentialCoactivationFC', 'Time-Freq'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5337105195720417, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5185229675187392, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5154630958074287, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5404034206750736, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5500293427230047, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5469348659003832, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5388631903560415, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5590094981135387, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5550181905322092, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel'), ('QuantumRandomExp_hybrid', 0.5178530975933378, ['QuantumMutualInformationFC', 'RandomFourierDependence', 'ExponentialWindow'], 'kernel')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Get and add the COMPONENTS and HYBRID_RULE class attributes from each hybrid method class to the filtered rows\n",
+    "\n",
+    "\n",
+    "def method_to_module_name(method_name):\n",
+    "    \"\"\"Convert method names like ChangepointRobustExp_hybrid to changepoint_robust_exp_hybrid.\"\"\"\n",
+    "    return re.sub(r\"(?<!^)(?=[A-Z])\", \"_\", method_name).lower()\n",
+    "\n",
+    "\n",
+    "hybrid_rows = []\n",
+    "\n",
+    "for method, score in filtered_rows:\n",
+    "    module_name = method_to_module_name(method)\n",
+    "    script_path = working_dir / \"pydfc\" / \"dfc_methods\" / f\"{module_name}.py\"\n",
+    "\n",
+    "    if not script_path.exists():\n",
+    "        print(f\"Script for method {method} not found at {script_path}.\")\n",
+    "        hybrid_rows.append((method, score, None, None))\n",
+    "        continue\n",
+    "\n",
+    "    hybrid_module = importlib.import_module(f\"pydfc.dfc_methods.{module_name}\")\n",
+    "\n",
+    "    # The class name uses the upper-case snake-case module name.\n",
+    "    # Example: VolatilityAdaptiveEdge_hybrid -> VOLATILITY_ADAPTIVE_EDGE_HYBRID\n",
+    "    class_name = module_name.upper()\n",
+    "    hybrid_class = getattr(hybrid_module, class_name, None)\n",
+    "    hybrid_components = getattr(\n",
+    "        hybrid_class, \"COMPONENTS\", None\n",
+    "    )  # original method used to ensemble the hybrid\n",
+    "\n",
+    "    hybrid_rule = getattr(hybrid_class, \"HYBRID_RULE\", None)\n",
+    "    # Many different names for hybrid_rule could be synonymous (same math/code operations),\n",
+    "    # so we need to unify them into one name\n",
+    "    if str(hybrid_rule) == \"ensemble_mean\":\n",
+    "        hybrid_rule = \"mean\"\n",
+    "    else:\n",
+    "        if \"residual\" in str(hybrid_rule):\n",
+    "            hybrid_rule = \"residual\"\n",
+    "        elif \"sparse\" in str(hybrid_rule):\n",
+    "            hybrid_rule = \"sparse\"\n",
+    "        elif (\n",
+    "            \"kernel\" in str(hybrid_rule)\n",
+    "            or \"information\" in str(hybrid_rule)\n",
+    "            or \"spectral\" in str(hybrid_rule)\n",
+    "        ):\n",
+    "            hybrid_rule = \"kernel\"\n",
+    "        elif (\n",
+    "            \"change\" in str(hybrid_rule)\n",
+    "            or \"derivative\" in str(hybrid_rule)\n",
+    "            or \"volatility\" in str(hybrid_rule)\n",
+    "        ):\n",
+    "            hybrid_rule = \"change\"\n",
+    "        else:\n",
+    "            if hybrid_rule == \"adaptive_gate\" or hybrid_rule == \"state_modulated\":\n",
+    "                hybrid_rule = \"adaptive_gate\"\n",
+    "\n",
+    "    hybrid_rows.append((method, score, hybrid_components, hybrid_rule))\n",
+    "\n",
+    "print(hybrid_rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d1cf04bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 2200x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Visualize the hybrid methods' scores as two box plots: one grouped by the components and one grouped by the hybrid rules.\n",
+    "# Each box plot will show the distribution of scores for each unique component and each unique hybrid rule.\n",
+    "\n",
+    "# Build a tidy dataframe from hybrid_rows:\n",
+    "# hybrid_rows = [(method, score, components, hybrid_rule), ...]\n",
+    "hybrid_df = pd.DataFrame(\n",
+    "    hybrid_rows,\n",
+    "    columns=[\"method\", \"score\", \"components\", \"hybrid_rule\"],\n",
+    ")\n",
+    "\n",
+    "# One row per component, because each hybrid method can have multiple components.\n",
+    "component_df = (\n",
+    "    hybrid_df.dropna(subset=[\"components\"])\n",
+    "    .explode(\"components\")\n",
+    "    .rename(columns={\"components\": \"component\"})\n",
+    ")\n",
+    "# display(component_df)\n",
+    "\n",
+    "# Keep only rows with a rule.\n",
+    "rule_df = hybrid_df.dropna(subset=[\"hybrid_rule\"])\n",
+    "\n",
+    "# Sort groups by median score for easier reading.\n",
+    "component_order = (\n",
+    "    component_df.groupby(\"component\")[\"score\"].median().sort_values(ascending=False).index\n",
+    ")\n",
+    "rule_order = (\n",
+    "    rule_df.groupby(\"hybrid_rule\")[\"score\"].median().sort_values(ascending=False).index\n",
+    ")\n",
+    "\n",
+    "sns.set_theme(style=\"whitegrid\", context=\"talk\")\n",
+    "fig, axes = plt.subplots(1, 2, figsize=(22, 8))\n",
+    "\n",
+    "sns.boxplot(\n",
+    "    data=component_df,\n",
+    "    x=\"component\",\n",
+    "    y=\"score\",\n",
+    "    order=component_order,\n",
+    "    ax=axes[0],\n",
+    ")\n",
+    "sns.stripplot(\n",
+    "    data=component_df,\n",
+    "    x=\"component\",\n",
+    "    y=\"score\",\n",
+    "    order=component_order,\n",
+    "    color=\"black\",\n",
+    "    alpha=0.35,\n",
+    "    size=3,\n",
+    "    jitter=0.25,\n",
+    "    ax=axes[0],\n",
+    ")\n",
+    "axes[0].set_title(f\"{metric} by Hybrid Component\", y=1.04)\n",
+    "axes[0].set_xlabel(\"Component (Original high-performing method)\")\n",
+    "axes[0].set_ylabel(metric)\n",
+    "axes[0].set_xticks(range(len(component_order)))\n",
+    "axes[0].set_xticklabels(\n",
+    "    component_order,\n",
+    "    rotation=45,\n",
+    "    ha=\"right\",\n",
+    "    rotation_mode=\"anchor\",\n",
+    ")\n",
+    "\n",
+    "sns.boxplot(\n",
+    "    data=rule_df,\n",
+    "    x=\"hybrid_rule\",\n",
+    "    y=\"score\",\n",
+    "    order=rule_order,\n",
+    "    ax=axes[1],\n",
+    ")\n",
+    "sns.stripplot(\n",
+    "    data=rule_df,\n",
+    "    x=\"hybrid_rule\",\n",
+    "    y=\"score\",\n",
+    "    order=rule_order,\n",
+    "    color=\"black\",\n",
+    "    alpha=0.35,\n",
+    "    size=3,\n",
+    "    jitter=0.25,\n",
+    "    ax=axes[1],\n",
+    ")\n",
+    "axes[1].set_title(f\"{metric} by Hybrid Rule\", y=1.04)\n",
+    "axes[1].set_xlabel(\"Hybrid rule\")\n",
+    "axes[1].set_ylabel(metric)\n",
+    "axes[1].set_xticks(range(len(rule_order)))\n",
+    "axes[1].set_xticklabels(\n",
+    "    rule_order,\n",
+    "    rotation=45,\n",
+    "    ha=\"right\",\n",
+    "    rotation_mode=\"anchor\",\n",
+    ")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "defaultInterpreterPath: 3.11.5.final.0",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}