Evaluate

Get Estimator

get_estimator(pipeline[, dataset, problem_spec])

Get a sklearn compatible estimator from a Pipeline, Dataset and ProblemSpec.

Evaluate Functions

evaluate(pipeline, dataset[, problem_spec, ...])	This method is used to evaluate a model pipeline with cross-validation.
cross_validate(pipeline, dataset[, ...])	This function is a BPt compatible wrapper around sklearn.model_selection.cross_validate()
cross_val_score(pipeline, dataset[, ...])	This function is a BPt compatible wrapper around sklearn.model_selection.cross_val_score()

EvalResults

EvalResults(estimator, ps[, encoders, ...])	This class is returned from calls to evaluate(), and can be used to store information from evaluate, or compute additional feature importances.
EvalResultsSubset(evaluator, subjects[, ...])	This class represents a subset of EvalResults and is returned as a result of calling EvalResults.subset_by().