This draft document provides instructions for installation of the dependencies, and also running the code.

Setup Git

You need to have Git installed on your system for cloning PyBrain:

sudo apt-get install git

For systems other than Debian/Ubuntu, you can use the corresponding package managers. Additional Git installation instructions can be found at Git-scm.

Setup SciPy

For Ubuntu:

sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

For other systems, the installation instructions are available at SciPy.

Setup PyBrain

Make sure you have SciPy installed, then Clone the PyBrain library from Github using this command:

git clone git://

From the cloned directory, install PyBrain using:

python install

Running the Code

Data Retriever unit:

python /home/Repos/eras/servers/solarstorm/database/data

Provide the destination directory as argument. The raw data files will be downloaded to the provided directory.

Parser unit:

python /home/Repos/eras/servers/solarstorm/database/data

Provide the source directory, where you downloaded the data files in the previous step. This unit will parse the data files in the source directory and generate the CSV file.

Neural Network Training:


This should be in same directory as the It will automatically take the CSV file as input, train the neural network and generate the XML file as output.