econml.dml.NonParamDML ====================== .. currentmodule:: econml.dml .. autoclass:: NonParamDML .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~NonParamDML.__init__ ~NonParamDML.ate ~NonParamDML.ate_inference ~NonParamDML.ate_interval ~NonParamDML.cate_feature_names ~NonParamDML.cate_output_names ~NonParamDML.cate_treatment_names ~NonParamDML.const_marginal_ate ~NonParamDML.const_marginal_ate_inference ~NonParamDML.const_marginal_ate_interval ~NonParamDML.const_marginal_effect ~NonParamDML.const_marginal_effect_inference ~NonParamDML.const_marginal_effect_interval ~NonParamDML.effect ~NonParamDML.effect_inference ~NonParamDML.effect_interval ~NonParamDML.fit ~NonParamDML.marginal_ate ~NonParamDML.marginal_ate_inference ~NonParamDML.marginal_ate_interval ~NonParamDML.marginal_effect ~NonParamDML.marginal_effect_inference ~NonParamDML.marginal_effect_interval ~NonParamDML.refit_final ~NonParamDML.score ~NonParamDML.shap_values .. rubric:: Attributes .. autosummary:: ~NonParamDML.dowhy ~NonParamDML.featurizer_ ~NonParamDML.model_cate ~NonParamDML.model_final_ ~NonParamDML.models_nuisance_ ~NonParamDML.models_t ~NonParamDML.models_y ~NonParamDML.nuisance_scores_t ~NonParamDML.nuisance_scores_y ~NonParamDML.original_featurizer ~NonParamDML.ortho_learner_model_final_ ~NonParamDML.residuals_ ~NonParamDML.rlearner_model_final_ ~NonParamDML.transformer