.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "checks_gallery/tabular/overview/plot_model_info.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_checks_gallery_tabular_overview_plot_model_info.py: Model Info ********** .. GENERATED FROM PYTHON SOURCE LINES 8-13 .. code-block:: default from sklearn.ensemble import AdaBoostClassifier from deepchecks.tabular.checks.overview import ModelInfo .. GENERATED FROM PYTHON SOURCE LINES 14-16 .. code-block:: default clf = AdaBoostClassifier(learning_rate=1.2) ModelInfo().run(clf) .. raw:: html

Model Info

Summarize given model parameters.

Additional Outputs
Model Type: AdaBoostClassifier
Parameter Value Default
algorithm SAMME.R SAMME.R
base_estimator None None
learning_rate 1.20 1.00
n_estimators 50 50
random_state None None

Colored rows are parameters with non-default values



.. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.016 seconds) .. _sphx_glr_download_checks_gallery_tabular_overview_plot_model_info.py: .. only :: html .. container:: sphx-glr-footer :class: 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 `_