:orphan: .. _sphx_glr_examples_classification: .. _classification_examples: All classification examples ============================ Following is a collection of notebooks demonstrating how to use MAPIE in classification. .. raw:: html
.. _sphx_glr_examples_classification_1-quickstart: .. _classification_examples_1: 1. Quickstart examples ---------------------- The following examples present the main functionalities of MAPIE through basic quickstart classification problems. .. raw:: html
.. only:: html .. figure:: /examples_classification/1-quickstart/images/thumb/sphx_glr_plot_quickstart_classification_thumb.png :alt: Use MAPIE to plot prediction sets :ref:`sphx_glr_examples_classification_1-quickstart_plot_quickstart_classification.py` .. raw:: html
.. toctree:: :hidden: /examples_classification/1-quickstart/plot_quickstart_classification .. raw:: html
.. _sphx_glr_examples_classification_2-advanced-analysis: .. _classification_examples_2: 2. Advanced analysis -------------------- The following examples use MAPIE for discussing more complex MAPIE classification problems. .. raw:: html
.. only:: html .. figure:: /examples_classification/2-advanced-analysis/images/thumb/sphx_glr_plot_comp_methods_on_2d_dataset_thumb.png :alt: LAC and APS methods explained :ref:`sphx_glr_examples_classification_2-advanced-analysis_plot_comp_methods_on_2d_dataset.py` .. raw:: html
.. toctree:: :hidden: /examples_classification/2-advanced-analysis/plot_comp_methods_on_2d_dataset .. raw:: html
.. only:: html .. figure:: /examples_classification/2-advanced-analysis/images/thumb/sphx_glr_plot_main-tutorial-binary-classification_thumb.png :alt: Set prediction example in the binary classification setting :ref:`sphx_glr_examples_classification_2-advanced-analysis_plot_main-tutorial-binary-classification.py` .. raw:: html
.. toctree:: :hidden: /examples_classification/2-advanced-analysis/plot_main-tutorial-binary-classification .. raw:: html
.. only:: html .. figure:: /examples_classification/2-advanced-analysis/images/thumb/sphx_glr_plot_crossconformal_thumb.png :alt: Cross conformal classification explained :ref:`sphx_glr_examples_classification_2-advanced-analysis_plot_crossconformal.py` .. raw:: html
.. toctree:: :hidden: /examples_classification/2-advanced-analysis/plot_crossconformal .. raw:: html
.. _sphx_glr_examples_classification_3-scientific-articles: .. _classification_examples_3: 3. Simulations from scientific articles --------------------------------------- The following examples reproduce the simulations from the scientific articles that present the methods implemented in MAPIE for classification settings. .. raw:: html
.. only:: html .. figure:: /examples_classification/3-scientific-articles/images/thumb/sphx_glr_plot_sadinle2019_example_thumb.png :alt: Least Ambiguous Set-Valued Classifiers with Bounded Error Levels, Sadinle et al. (2019) :ref:`sphx_glr_examples_classification_3-scientific-articles_plot_sadinle2019_example.py` .. raw:: html
.. toctree:: :hidden: /examples_classification/3-scientific-articles/plot_sadinle2019_example .. raw:: html
.. _sphx_glr_examples_classification_4-other-notebooks: .. _classification_examples_4: 4. Other notebooks -------------------- This section lists a series of Jupyter notebooks hosted on the MAPIE Github repository that can be run on Google Colab: - `Deep learning with MAPIE on the Cifar10 dataset `_ .. raw:: html
.. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: examples_classification_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: examples_classification_jupyter.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_