libuplift.meta.x_learner
========================

.. py:module:: libuplift.meta.x_learner

.. autoapi-nested-parse::

   The X-learner model from Künzel et al. 'Metalearners for estimating
   heterogeneous treatment effects using machine learning'.

   Currently available only for regression.  Can be applied to
   classification problems when treating class variable as numeric.

   ..
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Classes
-------

.. autoapisummary::

   libuplift.meta.x_learner.XLearnerUpliftRegressor


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

.. py:class:: XLearnerUpliftRegressor(base_estimator=LinearRegression())

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


   
   Mixin class for all uplift regression estimators in
   libuplift.
















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   .. py:method:: predict(X)