econml.dml.KernelDML
====================

.. currentmodule:: econml.dml

.. autoclass:: KernelDML

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~KernelDML.__init__
      ~KernelDML.ate
      ~KernelDML.ate_inference
      ~KernelDML.ate_interval
      ~KernelDML.cate_feature_names
      ~KernelDML.cate_output_names
      ~KernelDML.cate_treatment_names
      ~KernelDML.coef__inference
      ~KernelDML.coef__interval
      ~KernelDML.const_marginal_ate
      ~KernelDML.const_marginal_ate_inference
      ~KernelDML.const_marginal_ate_interval
      ~KernelDML.const_marginal_effect
      ~KernelDML.const_marginal_effect_inference
      ~KernelDML.const_marginal_effect_interval
      ~KernelDML.effect
      ~KernelDML.effect_inference
      ~KernelDML.effect_interval
      ~KernelDML.fit
      ~KernelDML.intercept__inference
      ~KernelDML.intercept__interval
      ~KernelDML.marginal_ate
      ~KernelDML.marginal_ate_inference
      ~KernelDML.marginal_ate_interval
      ~KernelDML.marginal_effect
      ~KernelDML.marginal_effect_inference
      ~KernelDML.marginal_effect_interval
      ~KernelDML.refit_final
      ~KernelDML.score
      ~KernelDML.shap_values
      ~KernelDML.summary
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~KernelDML.bias_part_of_coef
      ~KernelDML.coef_
      ~KernelDML.dowhy
      ~KernelDML.featurizer
      ~KernelDML.featurizer_
      ~KernelDML.fit_cate_intercept_
      ~KernelDML.intercept_
      ~KernelDML.model_cate
      ~KernelDML.model_final
      ~KernelDML.model_final_
      ~KernelDML.models_nuisance_
      ~KernelDML.models_t
      ~KernelDML.models_y
      ~KernelDML.nuisance_scores_t
      ~KernelDML.nuisance_scores_y
      ~KernelDML.original_featurizer
      ~KernelDML.ortho_learner_model_final_
      ~KernelDML.residuals_
      ~KernelDML.rlearner_model_final_
      ~KernelDML.transformer