.. _estimators:

.. currentmodule:: scikitplot.estimators

=============
Estimators
=============

This module contains functions related to estimators.

.. _plot_feature_importances:

plot feature importances
-----------------------------

:func:`~scikitplot.estimators.plot_feature_importances`

Trained model of :class:`~sklearn.linear_model.LogisticRegression` and
:class:`~sklearn.ensemble.RandomForestClassifier`. For an example of
performing image:

.. rubric:: Examples

* :ref:`sphx_glr_auto_examples_estimators_plot_feature_importances_script.py`: Example usage of
  :class:`~sklearn.linear_model.LogisticRegression` using the iris dataset

* :ref:`sphx_glr_auto_examples_estimators_plot_feature_importances_script.py`: Example usage of
  :class:`~sklearn.ensemble.RandomForestClassifier` using the iris dataset


.. dropdown:: References

  * `"scikit-learn LogisticRegression coef_"
    <https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html#logisticregression>`_.

  * `"scikit-learn RandomForestClassifier feature_importances_"
    <https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier.feature_importances_>`_.

.. _plot_learning_curve:

plot_learning_curve
-----------------------------

:func:`~scikitplot.estimators.plot_learning_curve`

Trained model of :class:`~sklearn.linear_model.LogisticRegression` and
:class:`~sklearn.ensemble.RandomForestClassifier`. For an example of
performing image:

.. rubric:: Examples

* :ref:`sphx_glr_auto_examples_estimators_plot_learning_curve_script.py`: Example usage of
  :class:`~sklearn.linear_model.LogisticRegression` using the iris dataset

* :ref:`sphx_glr_auto_examples_estimators_plot_learning_curve_script.py`: Example usage of
  :class:`~sklearn.ensemble.RandomForestClassifier` using the iris dataset


.. dropdown:: References

  * `"scikit-learn learning_curve"
    <https://scikit-learn.org/stable/modules/learning_curve.html#learning-curve>`_.