==============
Classification
==============

In :ref:`featurization`, we provide examples on how to generate feature matrices from persistence diagrams.
Here, we show how to perform classification using supervised machine learning algorithms.

.. automodule:: teaspoon.ML.PD_Classification
    :members: getPercentScore
    :undoc-members:
    :private-members:
    :special-members:

Please see following subsections for classification examples of each featurization approach.

.. toctree::
   :maxdepth: 1


   Persistence Landscapes <CL_PL.rst>
   Persistence Images <CL_PI.rst>
   Carlsson Coordinates <CL_CC.rst>
   Template Functions <CL_TF.rst>
   Path Signatures <CL_PS.rst>
   Kernel Method <CL_KM.rst>