From b607cb556d44d64cf45048356f7ea209cb39331f Mon Sep 17 00:00:00 2001
From: sofiane <sziane@quantmetry.com>
Date: Thu, 20 Jul 2023 16:47:14 +0200
Subject: [PATCH] UPD: update file rst+ docString

---
 doc/notebooks_multilabel_classification.rst | 2 +-
 mapie/control_risk/crc_rcps.py              | 3 +++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/doc/notebooks_multilabel_classification.rst b/doc/notebooks_multilabel_classification.rst
index 02b476ea8..de26d81b3 100644
--- a/doc/notebooks_multilabel_classification.rst
+++ b/doc/notebooks_multilabel_classification.rst
@@ -7,4 +7,4 @@ methods proposed in MAPIE.
 
 1. Overview of Risk Control for Multi-Label Classification : 
 `notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/classification/tutorial_multilabel_classification.ipynb>`_
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+-----------------------------------------------------------------------------------------------------------------------------------------
\ No newline at end of file
diff --git a/mapie/control_risk/crc_rcps.py b/mapie/control_risk/crc_rcps.py
index d33e6968b..47c593a68 100644
--- a/mapie/control_risk/crc_rcps.py
+++ b/mapie/control_risk/crc_rcps.py
@@ -29,9 +29,12 @@ def get_r_hat_plus(
     method: Optional[str]
         Correspond to the method use to control recall
         score. Could be either CRC or RCPS.
+        When method is RCPS and bound is None the default
+        bound use wsr.
 
     bound: Optional[str]
         Bounds to compute. Either hoeffding, bernstein or wsr.
+        When method is RCPS and bound in None, use wsr bound.
 
     delta: Optional[float]
         Level of confidence.