—-Environment Python 2.7
--Please use https://ipython.org/notebook.html to compile and run SolarFlareClassification.ipynb --More on https://jupyter.org/ --On Linux \ Mac --you can install it using
$> pip install ipython
—-Extract the Tar-Ball
$> tar -xvzf ankush_chauhan_submission_adm.tar.gz
$> cd ADM
The ipython notebook has been compiled and you can view the output in SolarFlareClassification.html
--additionally the project have a few dependency libraries required to confirm installation you can use following commands before starting the Ipython notebook
$> pip install numpy scipy sklearn seaborn
$> ipython notebook Once your jupyter server start you can navigate on the browser to SolarFlareClassification.ipynb and then compile it.
The notebook has comments before each cell to describe what’s happening in the cell
The Dataset are stored in 4 different folders, for making final predictions only dataset 2,3 and 4 are used.
I have commented the generation of a few plots, as it takes most of the computation time. You can skip the print statements as well.