evalml.pipelines.MeanBaselineRegressionPipeline.score

MeanBaselineRegressionPipeline.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) – True values 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.MeanBaselineRegressionPipeline.save evalml.pipelines.utils.make_pipeline