Commit ce42be55 authored by Leonie Pick's avatar Leonie Pick
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Initial push.

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# General
import warnings
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
import matplotlib.pyplot as plt'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
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# An automatic classifier for geomagnetic storm drivers based on machine learning techniques
### Author
Leonie Pick, GFZ German Research Centre for Geoscieces,
### 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 by clicking on the 'Download'
button. Additionally, download the directory 'Dump/' and the file '' from and
place both into the extracted directory ClassifyStorms-master. Navigate to ClassifyStorms-master and start the jupyter
server ( 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 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 (,<br> ).
### License
This software is distributed under the GNU General Public Licence with Copyleft.
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