Classes

Learning

Class	Role
`Learner`	Base class for training models and selecting instances.
`LearnerInformation`	Holds metadata about a dataset, a training run, and the resulting model.
`Scikitlearn`	`Learner` subclass backed by Scikit-learn.
`Xgboost`	`Learner` subclass backed by XGBoost.
`LightGBM`	`Learner` subclass backed by LightGBM.
`TabularPreprocessor`	Preprocesses tabular datasets (encoding, scaling, splitting).
`NonTabularPreprocessor`	Preprocesses non-tabular datasets (images, time series).
`ModelIO`	Imports, saves, and loads models.

Class	Role
`Explainer`	Base class for all explainers; use `Explaining.initialize` to get the right subclass.
`ExplainerDT`	Explainer for Decision Tree models.
`ExplainerRF`	Explainer for Random Forest models.
`ExplainerBT`	Explainer for Boosted Tree classification models.
`ExplainerRegressionBT`	Explainer for Boosted Tree regression models.
`Visualisation`	Displays explanations in a notebook, on screen, or via the GUI.

Class	Role
`DecisionNode`	A node in a decision tree (condition of the form feature ≥ threshold).
`LeafNode`	A leaf in a decision tree (class label or regression value).
`DecisionTree`	A single decision tree built from nodes and leaves.
`RandomForest`	A set of `DecisionTree` objects forming a Random Forest.
`BoostedTrees`	A set of `DecisionTree` objects forming a Boosted Trees classifier.
`BoostedTreesRegression`	A set of `DecisionTree` objects forming a Boosted Trees regressor.