fixed bug in tf1 explainer (#327)

Author: amit-sharma

dice_ml/explainer_interfaces/dice_tensorflow1.py

@@ -346,7 +346,7 @@ def do_loss_initializations(self, yloss_type="hinge_loss", diversity_loss_type="
                 feature_weights[feature] = round(1/normalized_mads[feature], 2)
 
         feature_weights_list = []
-        for feature in self.data_interface.encoded_feature_names:
+        for feature in self.data_interface.ohe_encoded_feature_names:
             if feature in feature_weights:
                 feature_weights_list.append(feature_weights[feature])
             else: