libuplift.meta.r_learner
========================

.. py:module:: libuplift.meta.r_learner

.. autoapi-nested-parse::

   R-learner.

   ..
       !! processed by numpydoc !!


Classes
-------

.. autoapisummary::

   libuplift.meta.r_learner.RLearnerUpliftRegressor


Module Contents
---------------

.. py:class:: RLearnerUpliftRegressor(base_estimator=LinearRegression(), mean_estimator=None, cv=None)

   Bases: :py:obj:`libuplift.base.UpliftRegressorMixin`, :py:obj:`libuplift.meta.base.UpliftMetaModelBase`


   
   Mixin class for all uplift regression estimators in
   libuplift.
















   ..
       !! processed by numpydoc !!

   .. py:method:: fit(X, y, trt, n_trt=None, sample_weight=None, *, y_stratify=None)


   .. py:method:: predict(X)