Initial push.

.gitignore

+# Don't track the following folders
+Dump/
+
+# Don't track the following files
+Input.nc
+
+# Don't track all files with these endings:
+*.pyc

Imports.py

+# General
+import warnings
+warnings.filterwarnings('ignore')
+import xarray as xr
+import numpy as np
+import pandas as pd
+import datetime as dt
+import itertools
+import time as time
+# IPython
+from IPython.display import display
+# Matplotlib
+import matplotlib as mpl
+mpl.use('TkAgg')
+import matplotlib.pyplot as plt
+plt.style.use('bmh')
+import matplotlib.gridspec as gridspec
+# Scipy
+from scipy import interp
+from scipy.signal import butter, filtfilt
+# Sklearn
+import sklearn as sk
+from sklearn import metrics, preprocessing
+from sklearn.feature_selection import RFE
+from sklearn.model_selection import StratifiedKFold, GridSearchCV, cross_validate
+from sklearn.pipeline import Pipeline
+from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis
+from sklearn.linear_model import LogisticRegression
+from sklearn.svm import SVC
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.neural_network import MLPClassifier
+

Readme.md

+# An automatic classifier for geomagnetic storm drivers based on machine learning techniques
+
+### Author
+Leonie Pick, GFZ German Research Centre for Geoscieces, leonie.pick@gfz-potsdam.de
+
+### What is ClassifyStorms?
+ClassifyStorms is a software package that performs a classification of geomagnetic storms according to their interplanetary driving 
+mechanisms based exclusively on magnetometer measurements from ground.<br>
+In the present version two such driver classes are considered. Class 0 holds storms driven by Corotating or Stream Interaction
+Regions (C/SIRs) and Class 1 holds storms driven by Interplanetary Coronal Mass Ejections (ICMEs). The classification task is 
+executed by a supervised binary logistic regression model in the framework of python's scikit-learn.
+
+### How to run ClassifyStorms?
+Download the GitLab project 'ClassifyStorms' from https://gitext.gfz-potsdam.de/lpick/ClassifyStorms by clicking on the 'Download' 
+button. Additionally, download the directory 'Dump/' and the file 'Input.nc' from ftp://ftp.gfz-potsdam.de/home/mag/pick/ClassifyStorms/ and 
+place both into the extracted directory ClassifyStorms-master. Navigate to ClassifyStorms-master and start the jupyter 
+server (https://jupyter.org/) by typing 'jupyter notebook' into the command line. This will open the jupyter 'Home' in your web 
+browser. Select ClassifyStorms.ipynb from the list and run the notebook by clicking 'Run'.
+
+### Get involved!
++ Fork the GitLab project "ClassifyStorms" from https://gitext.gfz-potsdam.de/lpick/ClassifyStorms by clicking on the 'Fork' button.
++ Clone the forked project to a local directory.
++ Create a new development branch and apply your changes to it.
++ Commit your changes and push them to your forked project at GitLab. If you are done, merge the development branch into the master branch.  
++ Should you decide to share your work, create a merge request for your forked project's master branch (source) and the original 
+project's master branch (destination). 
+
+### References
++ This software is a supplement to Pick et al., GRL, 2019, submitted.
++ Details on the HMC index are given in Pick et al., JGR Space Physics, 2019 ( http://doi.org/10.1029/2018JA026185,<br>http://doi.org/10.5880/GFZ.2.3.2018.006 ).
+
+### License
+This software is distributed under the GNU General Public Licence with Copyleft.