Feature selector is a tool for dimensionality reduction of machine learning datasets.
There are five methods used to identify features to remove:
Refer to the Feature Selector Usage notebook for how to use
FeatureSelector also includes a number of visualization methods to inspect
characteristics of a dataset.
Most Important Features
python==3.6+ lightgbm==2.1.1 matplotlib==2.1.2 seaborn==0.8.1 numpy==1.14.5 pandas==0.23.1 scikit-learn==0.19.1
Any questions can be directed to [email protected]!