use getter instead of creating local var and update version

elephas/ml_model.py

@@ -178,7 +178,6 @@ def _transform(self, df):
         """
         output_col = self.getOutputCol()
         label_col = self.getLabelCol()
-        features_col = self.getFeaturesCol()
         new_schema = copy.deepcopy(df.schema)
         new_schema.add(StructField(output_col, StringType(), True))
         rdd = df.rdd
@@ -199,7 +198,7 @@ def extract_features_and_predict(model_yaml: str,
             partial(extract_features_and_predict,
                     self.get_keras_model_config(),
                     self.get_custom_objects(),
-                    features_col,
+                    self.getFeaturesCol(),
                     self.model_type))
         if self.model_type == ModelType.CLASSIFICATION:
             predictions = predictions.map(lambda x: tuple(str(x)))

setup.py

@@ -2,10 +2,10 @@
 from setuptools import find_packages
 
 setup(name='elephas',
-      version='1.2.1',
+      version='1.3.1',
       description='Deep learning on Spark with Keras',
       url='http://github.com/maxpumperla/elephas',
-      download_url='https://github.com/maxpumperla/elephas/tarball/1.2.1',
+      download_url='https://github.com/maxpumperla/elephas/tarball/1.3.1',
       author='Daniel Cahall',
       author_email='[email protected]',
       install_requires=['cython',