.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "tabular/auto_checks/model_evaluation/plot_model_info.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_tabular_auto_checks_model_evaluation_plot_model_info.py: .. _tabular__model_info: Model Info *********** This notebook provides an overview for using and understanding the Model Info check. **Structure:** * `What is the Model Info check? <#what-is-the-model-info-check>`__ * `Run the check <#run-the-check>`__ What is the Model Info check? ================================ The ``ModelInfo`` check produces a summary for the model parameters (number of estimators, learning rate, verbosity etc.). .. GENERATED FROM PYTHON SOURCE LINES 24-26 Imports ============= .. GENERATED FROM PYTHON SOURCE LINES 26-30 .. code-block:: default from sklearn.ensemble import AdaBoostClassifier from deepchecks.tabular.checks import ModelInfo .. GENERATED FROM PYTHON SOURCE LINES 31-33 Run the check =============== .. GENERATED FROM PYTHON SOURCE LINES 33-35 .. code-block:: default clf = AdaBoostClassifier(learning_rate=1.2) ModelInfo().run(clf) .. raw:: html
Model Info


.. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.020 seconds) .. _sphx_glr_download_tabular_auto_checks_model_evaluation_plot_model_info.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_model_info.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_model_info.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_