econml.dml.CausalForestDML ========================== .. currentmodule:: econml.dml .. autoclass:: CausalForestDML .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~CausalForestDML.__init__ ~CausalForestDML.ate ~CausalForestDML.ate__inference ~CausalForestDML.ate_inference ~CausalForestDML.ate_interval ~CausalForestDML.att_ ~CausalForestDML.att__inference ~CausalForestDML.att_stderr_ ~CausalForestDML.cate_feature_names ~CausalForestDML.cate_output_names ~CausalForestDML.cate_treatment_names ~CausalForestDML.const_marginal_ate ~CausalForestDML.const_marginal_ate_inference ~CausalForestDML.const_marginal_ate_interval ~CausalForestDML.const_marginal_effect ~CausalForestDML.const_marginal_effect_inference ~CausalForestDML.const_marginal_effect_interval ~CausalForestDML.effect ~CausalForestDML.effect_inference ~CausalForestDML.effect_interval ~CausalForestDML.feature_importances ~CausalForestDML.fit ~CausalForestDML.marginal_ate ~CausalForestDML.marginal_ate_inference ~CausalForestDML.marginal_ate_interval ~CausalForestDML.marginal_effect ~CausalForestDML.marginal_effect_inference ~CausalForestDML.marginal_effect_interval ~CausalForestDML.refit_final ~CausalForestDML.score ~CausalForestDML.shap_values ~CausalForestDML.summary ~CausalForestDML.tune .. rubric:: Attributes .. autosummary:: ~CausalForestDML.ate_ ~CausalForestDML.ate_stderr_ ~CausalForestDML.dowhy ~CausalForestDML.feature_importances_ ~CausalForestDML.featurizer_ ~CausalForestDML.model_cate ~CausalForestDML.model_final ~CausalForestDML.model_final_ ~CausalForestDML.models_nuisance_ ~CausalForestDML.models_t ~CausalForestDML.models_y ~CausalForestDML.nuisance_scores_t ~CausalForestDML.nuisance_scores_y ~CausalForestDML.original_featurizer ~CausalForestDML.ortho_learner_model_final_ ~CausalForestDML.residuals_ ~CausalForestDML.rlearner_model_final_ ~CausalForestDML.transformer ~CausalForestDML.tunable_params