econml.grf.CausalIVForest
=========================

.. currentmodule:: econml.grf

.. autoclass:: CausalIVForest

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~CausalIVForest.__init__
      ~CausalIVForest.apply
      ~CausalIVForest.decision_path
      ~CausalIVForest.feature_importances
      ~CausalIVForest.fit
      ~CausalIVForest.get_params
      ~CausalIVForest.get_subsample_inds
      ~CausalIVForest.oob_predict
      ~CausalIVForest.predict
      ~CausalIVForest.predict_alpha_and_jac
      ~CausalIVForest.predict_and_var
      ~CausalIVForest.predict_full
      ~CausalIVForest.predict_interval
      ~CausalIVForest.predict_moment_and_var
      ~CausalIVForest.predict_projection
      ~CausalIVForest.predict_projection_and_var
      ~CausalIVForest.predict_projection_var
      ~CausalIVForest.predict_tree_average
      ~CausalIVForest.predict_tree_average_full
      ~CausalIVForest.predict_var
      ~CausalIVForest.prediction_stderr
      ~CausalIVForest.set_params
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~CausalIVForest.feature_importances_