From 292b1cb52c9ac39944a7930997579f9fd5cb9a4e Mon Sep 17 00:00:00 2001 From: Kevin Mader Date: Thu, 31 May 2018 14:32:29 +0200 Subject: [PATCH] Update README.md updating notes removing useless old repos --- README.md | 18 +----------------- 1 file changed, 1 insertion(+), 17 deletions(-) diff --git a/README.md b/README.md index 9b466e9..a8ec1c4 100644 --- a/README.md +++ b/README.md @@ -57,23 +57,7 @@ And then running python setup.py install ``` -## related packages - -There are a number of different tools which pyqae utilizes for analysis - -- [`keras`](https://github.com/fchollet/keras) deep learning wrapper tools -- [`elephas`](https://github.com/maxpumperla/elephas) distribution code for ML and Keras -- [`tensorflow`](https://github.com/tensorflow/tensorflow) core deep learning code -- [`thunder`](https://github.com/thunder-project/thunder) thunder project for image and sequence analysis - - -You can install the ones you want with `pip`, for example - -``` -pip install thunder-python -``` - -## using with spark +# Using with spark Thunder doesn't require Spark and can run locally without it, but Spark and Thunder work great together! To install and configure a Spark cluster, consult the official [Spark documentation](http://spark.apache.org/docs/latest). Thunder supports Spark version 1.5+, and uses the Python API PySpark. If you have Spark installed, you can install Thunder just by calling `pip install thunder-python` on both the master node and all worker nodes of your cluster. Alternatively, you can clone this GitHub repository, and make sure it is on the `PYTHONPATH` of both the master and worker nodes.