README.md

Frontier Development Lab 2017 B-Sting Solar Terrestrial Interactions Neural Network Generation

Draft documentation. Check back! Initial Documentation to be completed by September 10th, 2017

Hardware Requirements - Preliminary List

This was tested on P100 nVidia GPU and nVidia GTX 1060 GPU. Should work if enough RAM on computer and fast enough GPU.

Software Requirements

python, anaconda, keras-gp, scikit-learn, pandas

How to run

For some of the csv files c++ programs were used for conversion. They can be found in cpp_files subdirectory. These are placeholder programs and probably should be converted to python for c++ phobic people. Check the README in that subdirectory for further details.

For either Project 1 or Project 2 edit the config.cfg file to point to the appropriate directory and import data.

Project 1: geomag with omni solar wind data Two files to run to explore LSTM with geo magnetic and solar wind data. Each one is a different take on LSTMs.

python LSTMarrayprediction.py

or

python lstm_multi_channel.py

Project 2: geomag, omni solar wind data and kp index

python kp_regress.py

Note: Check back early September 2017 for more documentatation and code clean up.