evalml.automl.AutoRegressionSearch.search

AutoRegressionSearch.search(X, y, feature_types=None, raise_errors=True, show_iteration_plot=True)

Find best classifier

Parameters

• X (pd.DataFrame) – the input training data of shape [n_samples, n_features]

• y (pd.Series) – the target training labels of length [n_samples]

• feature_types (list, optional) – list of feature types, either numerical or categorical. Categorical features will automatically be encoded

• raise_errors (boolean) – If True, raise errors and exit search if a pipeline errors during fitting. If False, set scores for the errored pipeline to NaN and continue search. Defaults to True.

• show_iteration_plot (boolean, True) – Shows an iteration vs. score plot in Jupyter notebook. Disabled by default in non-Jupyter enviroments.

Returns

self