machine_learning.gradient_boosting_regressor
============================================

.. py:module:: machine_learning.gradient_boosting_regressor

.. autoapi-nested-parse::

   Implementation of GradientBoostingRegressor in sklearn using the
   diabetes dataset, a popular regression problem used to predict
   disease progression one year after baseline.

   Note: this example previously used the Boston house-price dataset,
   which was removed from scikit-learn (>=1.2) for ethical reasons.
   ``load_diabetes`` is a drop-in bundled alternative that ships with
   scikit-learn, so the example runs offline.



Functions
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.. autoapisummary::

   machine_learning.gradient_boosting_regressor.main


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

.. py:function:: main() -> None