diff --git a/CHANGELOG.md b/CHANGELOG.md
index 2e91c83..afee33a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,8 @@
 # Changes
 
+# 2.3.1
+ - [BUG] replace np.Inf by np.inf for compatibility purpose
+
 # 2.3.0
  - [BUG] corrected the column names for the GrootCV scheme, setting the shadow var in last position to guarantee the real names are used
  - [ENHANCEMENT] support user defined cross-validation scheme for time series applications for GrootCV
diff --git a/CITATION.cff b/CITATION.cff
index 387169d..b3f24a9 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -15,5 +15,5 @@ keywords:
 - "Machine Learning"
 license: MIT License
 url: 'https://github.com/ThomasBury/arfs'
-version: 2.2.6
+version: 2.3.1
 date-released: 2021-12-18
diff --git a/docs/conf.py b/docs/conf.py
index 8a16db6..d52e0e6 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -25,7 +25,7 @@
 author = "Thomas Bury"
 
 # The full version, including alpha/beta/rc tags
-release = "2.3.0"
+release = "2.3.1"
 
 # If extensions (or modules to document with autodoc) are in another
 # directory, add these directories to sys.path here. If the directory is
diff --git a/src/arfs/__init__.py b/src/arfs/__init__.py
index d1c0ab9..ec67416 100644
--- a/src/arfs/__init__.py
+++ b/src/arfs/__init__.py
@@ -1,4 +1,4 @@
 """init module, providing information about the arfs package
 """
 
-__version__ = "2.3.0"
+__version__ = "2.3.1"
diff --git a/src/arfs/preprocessing.py b/src/arfs/preprocessing.py
index a6e3059..24bb244 100644
--- a/src/arfs/preprocessing.py
+++ b/src/arfs/preprocessing.py
@@ -621,7 +621,7 @@ def _fit_tree_and_create_bins(self, X, col, y, sample_weight, is_categorical):
                 .values.ravel()
             )
             bin_array = np.delete(bin_array, [np.argmax(bin_array)])
-            bin_array = np.unique(np.append(bin_array, [-np.Inf, np.Inf]))
+            bin_array = np.unique(np.append(bin_array, [-np.inf, np.inf]))
             self.bin_upper_bound_dic[col] = bin_array
 
             nan_pred_val = tree.predict(np.expand_dims([np.nan], axis=1))[0]