XClassifier provides transparent binary classification with real-time explainability. Unlike black-box models, you get instant insights into how predictions are made without needing surrogate models.
XRegressor provides transparent regression modeling with real-time explainability. Unlike black-box models, you get instant insights into how predictions are made for continuous target variables.
Preprocessing is handled by the xplainable-preprocessing package. It provides a spec-driven pipeline system where you define preprocessing steps declaratively using PipelineSpec and StepSpec, then compile them into an executable pipeline.
Multi-Class Classification is currently in active development and will be available in an upcoming release of xplainable. We're working to bring transparent, explainable multi-class models with the same ease of use you've come to expect.
NLP Documentation coming soon