PlasmaML

Machine Learning tools for Space Weather and Plasma Physics

courtesy NASA

PlasmaML is a collection of data analysis and machine learning tools in the domain of space physics, more specifically in modelling of space plasmas & space weather prediction.

This is a multi-language project where the primary modelling is done in Scala while R is heavily leveraged for generating visualizations. The project depends on the DynaML scala machine learning library and uses model and optimization implementations in it as a starting point for extensive experiments in space physics simulations and space weather prediction.

Getting Started

PlasmaML is managed using the Simple Build Tool (sbt).

Installation

Requirements

1. Scala
2. sbt
3. R

Steps

After installing all the pre-requisites,

1. Clone this project
2. From the root directory type sbt, you should see the sbt prompt.
3. At the sbt prompt, choose appropriate sub-project project omni
4. Compile the sources compile
5. Run the scala console console

Try an example program

scala>TestOmniNarmax("2004/11/09/08", "2004/11/11/09", "predict")