FeatureSelector is a class for removing features for a dataset intended for machine learning
Feature Selector: Simple Feature Selection in Python
Feature selector is a tool for dimensionality reduction of machine learning datasets.
pip install feature_selector
There are five methods used to identify features to remove:
- Missing Values
- Single Unique Values
- Collinear Features
- Zero Importance Features
- Low Importance Features
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
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