Python partial dependence plot toolbox
python partial dependence plot toolbox
Motivation
This repository is inspired by ICEbox. The goal is to visualize the impact of certain features towards model prediction for any supervised learning algorithm. (now support all scikit-learn algorithms)
The common headache
When using black box machine learning algorithms like random forest and boosting, it is hard to understand the relations between predictors and model outcome.
For example, in terms of random forest, all we get is the feature importance. Although we can know which feature is significantly influencing the outcome based on the importance calculation, it really sucks that we don’t know in which direction it is influencing.