scikit-learn-contrib
diff --git a/‎imblearn/over_sampling/adasyn.py
Lines changed: 2 additions & 2 deletions b/‎imblearn/over_sampling/adasyn.py
Lines changed: 2 additions & 2 deletions
diff --git a/‎imblearn/over_sampling/tests/data/ada_x.npy
78.1 KB b/‎imblearn/over_sampling/tests/data/ada_x.npy
78.1 KB
diff --git a/‎imblearn/over_sampling/tests/data/ada_x_05.npy
78.1 KB b/‎imblearn/over_sampling/tests/data/ada_x_05.npy
78.1 KB
diff --git a/‎imblearn/over_sampling/tests/data/ada_y.npy
3.91 KB b/‎imblearn/over_sampling/tests/data/ada_y.npy
3.91 KB
diff --git a/‎imblearn/over_sampling/tests/data/ada_y_05.npy
3.91 KB b/‎imblearn/over_sampling/tests/data/ada_y_05.npy
3.91 KB
@@ -167,8 +167,8 @@ def sample(self, X, y):
         super(ADASYN, self).sample(X, y)
 
         # Keep the samples from the majority class
-        X_resampled = X[y == self.maj_c_]
-        y_resampled = y[y == self.maj_c_]
+        X_resampled = X.copy()
+        y_resampled = y.copy()
 
         # Define the number of sample to create
         # We handle only two classes problem for the moment.