evalml.pipelines.TimeSeriesClassificationPipeline.score

TimeSeriesClassificationPipeline.score(X, y, objectives)

Evaluate model performance on current and additional objectives.

Parameters

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

• y (pd.Series, ww.DataColumn) – True labels 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.TimeSeriesClassificationPipeline.save evalml.pipelines.TimeSeriesBinaryClassificationPipeline