Fix flake8 and remove unused **kwargs

Author: Ignacio Quintero

src/sagemaker/estimator.py

@@ -153,13 +153,12 @@ def fit(self, inputs, wait=True, logs=True, job_name=None):
         if wait:
             self.latest_training_job.wait(logs=logs)
 
-
     @classmethod
     def _from_training_job(cls, init_params, hyperparameters, image, sagemaker_session):
         raise NotImplementedError()
 
     @classmethod
-    def attach(cls, training_job_name, sagemaker_session=None, **kwargs):
+    def attach(cls, training_job_name, sagemaker_session=None):
         """Attach to an existing training job.
 
         Create an Estimator bound to an existing training job. After attaching, if

tests/integ/test_linear_learner.py

@@ -87,6 +87,7 @@ def test_linear_learner():
             assert record.label["predicted_label"] is not None
             assert record.label["score"] is not None
 
+
 def test_async_linear_learner(sagemaker_session):
 
     training_job_name = ""

tests/integ/test_mxnet_train.py

@@ -90,7 +90,6 @@ def test_async_fit(sagemaker_session):
         predictor.predict(data)
 
 
-
 def test_deploy_model(mxnet_training_job, sagemaker_session):
     endpoint_name = 'test-mxnet-deploy-model-{}'.format(int(time.time()))