All classification examples

Following is a collection of notebooks demonstrating how to use MAPIE in classification.

1. Quickstart examples

The following examples present the main functionalities of MAPIE through basic quickstart classification problems.

Use MAPIE to plot prediction sets

Use MAPIE to plot prediction sets

2. Advanced analysis

The following examples use MAPIE for discussing more complex MAPIE classification problems.

LAC and APS methods explained

LAC and APS methods explained

Set prediction example in the binary classification setting

Set prediction example in the binary classification setting

Cross conformal classification explained

Cross conformal classification explained

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.

Least Ambiguous Set-Valued Classifiers with Bounded Error Levels, Sadinle et al. (2019)

Least Ambiguous Set-Valued Classifiers with Bounded Error Levels, Sadinle et al. (2019)

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