Merge pull request #127 from scikit-learn-contrib/add-crossconformal-classif-mean

Add cross-conformal method for classification

Author: gmartinonQM

HISTORY.rst

@@ -8,6 +8,7 @@ History
 * Add "naive" and "top-k" methods in MapieClassifier
 * Include J+aB method in regression tutorial
 * Add MNIST example for classification
+* Add cross-conformal for classification
 * Add `notebooks` folder containing notebooks used for generating documentation tutorials
 * Uniformize the use of matrix k_ and add an argument "ensemble" to method 
 "predict" in regression.py

README.rst

@@ -38,10 +38,14 @@
 MAPIE - Model Agnostic Prediction Interval Estimator
 ====================================================
 
-**MAPIE** allows you to easily estimate prediction intervals (or prediction sets) using your favourite scikit-learn-compatible model for
+**MAPIE** allows you to easily estimate prediction intervals (or prediction sets)
+using your favourite scikit-learn-compatible model for
 single-output regression or multi-class classification settings.
 
-Prediction intervals output by **MAPIE** encompass both aleatoric and epistemic uncertainties and are backed by strong theoretical guarantees [1-5].
+Prediction intervals output by **MAPIE** encompass both aleatoric and epistemic
+uncertainties and are backed by strong theoretical guarantees thanks to conformal
+prediction methods [1-5].
+
 
 🔗 Requirements
 ===============