.. _decomposition:

.. currentmodule:: scikitplot.decomposition

=============
Decomposition
=============

This module contains functions related to decomposition.

.. _plot_pca_component_variance:

plot pca component variance
-----------------------------

:func:`~scikitplot.decomposition.plot_pca_component_variance`

Trained model of :class:`~sklearn.decomposition.PCA`. For an example of
performing image:

.. rubric:: Examples

* :ref:`sphx_glr_auto_examples_decomposition_plot_pca_2d_projection_script.py`: Example usage of
  :class:`~sklearn.decomposition.PCA` using the iris dataset


.. dropdown:: References

  * `"scikit-learn PCA"
    <https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html#pca>`_.

.. _plot_pca_2d_projection:

plot pca 2d projection
-----------------------------

:func:`~scikitplot.decomposition.plot_pca_2d_projection`

Trained model of :class:`~sklearn.decomposition.PCA`. For an example of
performing image:

.. rubric:: Examples

* :ref:`sphx_glr_auto_examples_decomposition_plot_pca_component_variance_script.py`: Example usage of
  :class:`~sklearn.decomposition.PCA` using the iris dataset


.. dropdown:: References

  * `"scikit-learn PCA"
    <https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html#pca>`_.