diff --git a/.gitignore b/.gitignore
index fc73bb7..2d86bc8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -33,8 +33,8 @@ MANIFEST
 *.manifest
 *.spec
 
-# Installer log2s
-pip-log2.txt
+# Installer logs
+pip-log.txt
 pip-delete-this-directory.txt
 
 # Unit test / coverage reports
@@ -56,7 +56,7 @@ coverage.xml
 *.pot
 
 # Django stuff:
-*.log2
+*.log
 local_settings.py
 db.sqlite3
 db.sqlite3-journal
@@ -134,4 +134,5 @@ cmake-build-debug
 cmake-build-debug/**
 **/lcoverage/**
 **/x/*
-**/*.so
\ No newline at end of file
+**/*.so
+**/CMakeFiles
\ No newline at end of file
diff --git a/src/fimdlp/cfimdlp.pyx b/src/fimdlp/cfimdlp.pyx
index 83812ac..25a55dc 100644
--- a/src/fimdlp/cfimdlp.pyx
+++ b/src/fimdlp/cfimdlp.pyx
@@ -1,7 +1,7 @@
 # distutils: language = c++
 # cython: language_level = 3
 from libcpp.vector cimport vector
-from libcpp cimport bool
+from libcpp.string cimport string
 
 cdef extern from "../cppmdlp/CPPFImdlp.h" namespace "mdlp":
     ctypedef float precision_t
@@ -9,6 +9,7 @@ cdef extern from "../cppmdlp/CPPFImdlp.h" namespace "mdlp":
         CPPFImdlp(int) except + 
         CPPFImdlp& fit(vector[precision_t]&, vector[int]&)
         vector[precision_t] getCutPoints()
+        string version()
         
 
 cdef class CFImdlp:
@@ -22,4 +23,6 @@ cdef class CFImdlp:
         return self
     def get_cut_points(self):
         return self.thisptr.getCutPoints()
+    def get_version(self):
+        return self.thisptr.version()
  
diff --git a/src/fimdlp/mdlp.py b/src/fimdlp/mdlp.py
index 86441e7..92db4dc 100644
--- a/src/fimdlp/mdlp.py
+++ b/src/fimdlp/mdlp.py
@@ -99,9 +99,15 @@ class FImdlp(TransformerMixin, BaseEstimator):
         return self
 
     def _fit_discretizer(self, feature):
-        self.discretizer_[feature] = CFImdlp(proposal=self.proposal)
-        self.discretizer_[feature].fit(self.X_[:, feature], self.y_)
-        self.cut_points_[feature] = self.discretizer_[feature].get_cut_points()
+        if feature in self.features_:
+            self.discretizer_[feature] = CFImdlp(proposal=self.proposal)
+            self.discretizer_[feature].fit(self.X_[:, feature], self.y_)
+            self.cut_points_[feature] = self.discretizer_[
+                feature
+            ].get_cut_points()
+        else:
+            self.discretizer_[feature] = None
+            self.cut_points_[feature] = []
 
     def _discretize_feature(self, feature, X, result):
         if feature in self.features_: