get_feature_names() rebased commit

Nirvan101 · Nirvan101 · commit 39216f0cbde9 · 2017-11-26T18:38:49.000+05:30
diff --git a/sklearn/preprocessing/data.py b/sklearn/preprocessing/data.py
@@ -2873,3 +2873,37 @@ def inverse_transform(self, X):
                     X_tr[mask, idx] = None
 
         return X_tr
+
+    def get_feature_names(self, input_features=None):
+        """
+        Return feature names for output features
+
+        Parameters
+        ----------
+        input_features : list of string, length n_features, optional
+            String names for input features if available. By default,
+            "x0", "x1", ... "xn_features" is used.
+
+        Returns
+        -------
+        output_feature_names : list of string, length n_output_features
+
+        """
+        cats = self.categories_
+        feature_names = []
+        if input_features is None:
+            input_features = ['x%d' % i for i in range(len(cats))]
+
+        cats2=[]
+        for i in range(len(cats)):
+        temp=[]
+            for t in cats[i]:
+                temp.append(str(t))
+                cats2.append(np.array(temp))
+
+        for i in range(len(cats)):
+            t = [input_features[i] + '_' +f for f in cats2[i] ]
+            feature_names.append(t) 
+
+        feature_names = np.concatenate(feature_names)
+        return feature_names
