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pick
public
ClassifyStorms
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b42021de
Commit
b42021de
authored
May 06, 2019
by
Leonie Pick
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@@ -31,14 +31,14 @@ Regions (C/SIRs) and Class 1 holds storms driven by Interplanetary Coronal Mass
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 http://gitext.gfz-potsdam.de/lpick/ClassifyStorms/ by clicking on the 'Download'
Download the GitLab project
'
ClassifyStorms
'
from http://gitext.gfz-potsdam.de/lpick/ClassifyStorms/ by clicking on the 'Download'
button. Additionally, download 'Input.nc' from ftp://ftp.gfz-potsdam.de/home/mag/pick/ClassifyStorms/ and place it into
the extracted directory ClassifyStorms-master. Navigate to ClassifyStorms-master and start the jupyter server
(http://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 http://gitext.gfz-potsdam.de/lpick/ClassifyStorms by clicking on the 'Fork' button.
+
Fork the GitLab project
'
ClassifyStorms
'
from http://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.
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