.. _example_plot_isotonic_regression.py:


===================
Isotonic Regression
===================

An illustration of the isotonic regression on generated data. The
isotonic regression finds a non-decreasing approximation of a function
while minimizing the mean squared error on the training data. The benefit
of such a model is that it does not assume any form for the target
function such as linearity. For comparison a linear regression is also
presented.




.. image:: images/plot_isotonic_regression_001.png
    :align: center




**Python source code:** :download:`plot_isotonic_regression.py <plot_isotonic_regression.py>`

.. literalinclude:: plot_isotonic_regression.py
    :lines: 14-

**Total running time of the example:**  0.11 seconds
( 0 minutes  0.11 seconds)