evalml.automl.AutoMLSearch.search

AutoMLSearch.search(data_checks='auto', show_iteration_plot=True)

Find the best pipeline for the data set.

Parameters

• data_checks (DataChecks, list(Datacheck), str, None) – A collection of data checks to run before automl search. If data checks produce any errors, an exception will be thrown before the search begins. If “disabled” or None, no data checks will be done. If set to “auto”, DefaultDataChecks will be done. Default value is set to “auto”.

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

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

evalml.automl.AutoMLSearch.score_pipelines evalml.automl.AutoMLSearch.train_pipelines