Contains self-developed analytical tools.
Fast and effective methods to reduce the number of input variables.
Functions are based on statistical methods to evaluate the relatoinship between each input variable and the target variable, and select those with strongest relationships. Tutorial and sample codes can be found in feature-analysis.ipynb.
Reference: How to Choose a Feature Selection Method For Machine Learning
Documentation Update: Dec. 31, 2021