evalml.pipelines.TimeSeriesRegressionPipeline.predict

TimeSeriesRegressionPipeline.predict(X, y=None, objective=None)

Make predictions using selected features.

Parameters

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

• y (ww.DataColumn, pd.Series, np.ndarray, None) – The target training targets of length [n_samples]

• objective (Object or string) – The objective to use to make predictions

Returns

Predicted values.

Return type

ww.DataColumn

evalml.pipelines.TimeSeriesRegressionPipeline.load evalml.pipelines.TimeSeriesRegressionPipeline.save