tabensemb.model.WideDeep ======================== .. currentmodule:: tabensemb.model .. autoclass:: WideDeep :show-inheritance: .. rubric:: Methods .. automethod:: __init__ .. autosummary:: ~WideDeep._data_preprocess ~WideDeep._get_model_names ~WideDeep._get_program_name ~WideDeep._initial_values ~WideDeep._new_model ~WideDeep._pred_single_model ~WideDeep._space ~WideDeep._train_data_preprocess ~WideDeep._train_single_model .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages. .. autosummary:: :toctree: WideDeep._bayes_eval WideDeep._check_params WideDeep._check_space WideDeep._check_train_status WideDeep._conditional_validity WideDeep._custom_training_params WideDeep._data_preprocess WideDeep._default_metric_sklearn WideDeep._get_model_names WideDeep._get_params WideDeep._get_program_name WideDeep._get_required_models WideDeep._initial_values WideDeep._mkdir WideDeep._new_model WideDeep._pred_single_model WideDeep._predict WideDeep._predict_all WideDeep._predict_model WideDeep._predict_model_on_partition WideDeep._space WideDeep._train WideDeep._train_data_preprocess WideDeep._train_single_model WideDeep._update_optimizer_lr_scheduler_params WideDeep.cal_feature_importance WideDeep.cal_shap WideDeep.detach_model WideDeep.fit WideDeep.get_model_names WideDeep.inspect_attr WideDeep.new_model WideDeep.predict WideDeep.predict_proba WideDeep.required_models WideDeep.reset WideDeep.save_kwargs WideDeep.set_path WideDeep.train .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages. .. autosummary:: :toctree: WideDeep._support_warm_start WideDeep._trained WideDeep.device