Classification notebooks
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The following examples present advanced analyses on multi-class classification
problems for computer vision settings that are too heavy to be included in the example
galleries.


1. Estimating prediction sets on the Cifar10 dataset : `cifar_notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/classification/Cifar10.ipynb>`_
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2. Top-label calibration for outputs of ML models : `top_label_notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/classification/top_label_calibration.ipynb>`_
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