evalml.pipelines.PipelineBase.score

PipelineBase.score(X, y, objectives)

Evaluate model performance on current and additional objectives

Parameters

• X (pd.DataFrame or np.array) – Data of shape [n_samples, n_features]

• y (pd.Series) – Target data of length [n_samples]

• objectives (list) – Non-empty list of objectives to score on

Returns

Ordered dictionary of objective scores

Return type

dict

evalml.pipelines.PipelineBase.save evalml.pipelines.ClassificationPipeline