solve an error

Author: Guillaume Lemaitre

imblearn/base.py

@@ -260,7 +260,7 @@ def fit(self, X, y):
 
         super(BaseBinarySampler, self).fit(X, y)
 
-        if np.unique(y) == 1:
+        if np.size(np.unique(y)) == 1:
             warnings.warn('Hello')
 
         # Check that the target type is binary
@@ -298,7 +298,7 @@ def fit(self, X, y):
 
         super(BaseMulticlassSampler, self).fit(X, y)
 
-        if np.unique(y) == 1:
+        if np.size(np.unique(y)) == 1:
             warnings.warn('Hello')
 
         # Check that the target type is either binary or multiclass