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Author:
André Bleier
License:
MIT
Summary:
A simulation framework for supervised learning data. The functionalities are specifically designed to let the user a maximum degrees of freedom, to ultimately fulfill the research purpose. Furthermore, feature importances of the simulation can be created on a local and a global level. This is particular interesting, for instance, to benchmark feature selection algorithms.
Latest version:
0.0.7
Required dependencies:
matplotlib
|
numpy
|
pandas
|
scipy
|
seaborn
|
sklearn
|
statsmodels
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