name

Author: tcchiao

doc/demo.ipynb

@@ -2,10 +2,10 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "liquid-finland",
+   "id": "sticky-exhibit",
    "metadata": {},
    "source": [
-    "# demo\n",
+    "# Demo\n",
     "\n",
     "Author: Cindy Chiao\n",
     "Last Modified: Nov 16, 2021\n",
@@ -21,7 +21,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "guided-johnston",
+   "id": "banner-importance",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "incorporated-november",
+   "id": "equipped-sense",
    "metadata": {},
    "source": [
     "## Example data\n",
@@ -43,7 +43,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "substantial-puzzle",
+   "id": "dutch-grave",
    "metadata": {},
    "outputs": [
     {
@@ -566,7 +566,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "imported-circus",
+   "id": "applicable-diesel",
    "metadata": {},
    "outputs": [
     {
@@ -599,7 +599,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "portuguese-decline",
+   "id": "animated-marsh",
    "metadata": {},
    "source": [
     "## Batch generation\n",
@@ -614,7 +614,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "rocky-dealer",
+   "id": "attempted-cooling",
    "metadata": {},
    "outputs": [
     {
@@ -1040,7 +1040,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "smoking-acrobat",
+   "id": "digital-night",
    "metadata": {},
    "source": [
     "We can verify that the outputs have the expected shapes. \n",
@@ -1051,7 +1051,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "looking-journalism",
+   "id": "integral-theta",
    "metadata": {},
    "outputs": [
     {
@@ -1069,7 +1069,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cellular-designer",
+   "id": "usual-kennedy",
    "metadata": {},
    "source": [
     "There are 145 lat points and 192 lon points, thus we're expecting 145 * 192 = 27840 samples in a batch."
@@ -1078,7 +1078,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "accurate-arthur",
+   "id": "incomplete-native",
    "metadata": {},
    "outputs": [
     {
@@ -1096,7 +1096,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fewer-transfer",
+   "id": "durable-gazette",
    "metadata": {},
    "source": [
     "## Controlling the size/shape of batches\n",
@@ -1107,7 +1107,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "charming-drive",
+   "id": "sophisticated-legislation",
    "metadata": {},
    "outputs": [
     {
@@ -1559,7 +1559,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "specialized-realtor",
+   "id": "spectacular-reading",
    "metadata": {},
    "source": [
     "## Last batch behavior\n",
@@ -1570,7 +1570,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "broadband-solid",
+   "id": "residential-income",
    "metadata": {},
    "outputs": [
     {
@@ -2005,7 +2005,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "boring-slide",
+   "id": "competitive-islam",
    "metadata": {},
    "source": [
     "## Overlapping inputs\n",
@@ -2017,7 +2017,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "fossil-wonder",
+   "id": "cleared-custody",
    "metadata": {},
    "outputs": [
     {
@@ -2473,7 +2473,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "direct-mason",
+   "id": "harmful-benefit",
    "metadata": {},
    "source": [
     "We can inspect the samples in a batch for a lat/lon pixel, noting that the overlap only applies within a batch and not across. Thus, within the 20 time points in a batch, we can get 11 samples each with 10 time points and 9 time points allowed to overlap."
@@ -2482,7 +2482,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "instructional-criticism",
+   "id": "earlier-warehouse",
    "metadata": {},
    "outputs": [
     {
@@ -2944,7 +2944,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ranging-cologne",
+   "id": "arranged-telephone",
    "metadata": {},
    "source": [
     "## Example applications\n",
@@ -2957,7 +2957,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "premier-syria",
+   "id": "consolidated-chocolate",
    "metadata": {},
    "outputs": [
     {
@@ -3005,7 +3005,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "raised-breakfast",
+   "id": "legislative-closer",
    "metadata": {},
    "source": [
     "We can also use the Xarray's \"stack\" method to transform these into 2D inputs (n_samples, n_features) suitable for other machine learning algorithms implemented in libraries such as [sklearn](https://scikit-learn.org/stable/) and [xgboost](https://xgboost.readthedocs.io/en/stable/). In this case, we are expecting 9 x 9 x 9 = 729 features total."
@@ -3014,7 +3014,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "protecting-aside",
+   "id": "advisory-chicken",
    "metadata": {},
    "outputs": [
     {
@@ -3055,7 +3055,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "vocal-roots",
+   "id": "persistent-culture",
    "metadata": {},
    "source": [
     "## What's next?\n",