.. _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 `
.. literalinclude:: plot_isotonic_regression.py
:lines: 14-
**Total running time of the example:** 0.11 seconds
( 0 minutes 0.11 seconds)