Add new arg to the end to be non-breaking

Author: laurenyu

src/sagemaker/chainer/estimator.py

@@ -98,7 +98,7 @@ def hyperparameters(self):
         hyperparameters.update(Framework._json_encode_hyperparameters(additional_hyperparameters))
         return hyperparameters
 
-    def create_model(self, role=None, model_server_workers=None):
+    def create_model(self, model_server_workers=None, role=None):
         """Create a SageMaker ``ChainerModel`` object that can be deployed to an ``Endpoint``.
 
         Args:

src/sagemaker/mxnet/estimator.py

@@ -65,7 +65,7 @@ def __init__(self, entry_point, source_dir=None, hyperparameters=None, py_versio
         self.py_version = py_version
         self.framework_version = framework_version
 
-    def create_model(self, role=None, model_server_workers=None):
+    def create_model(self, model_server_workers=None, role=None):
         """Create a SageMaker ``MXNetModel`` object that can be deployed to an ``Endpoint``.
 
         Args:

src/sagemaker/pytorch/estimator.py

@@ -63,7 +63,7 @@ def __init__(self, entry_point, source_dir=None, hyperparameters=None, py_versio
         self.py_version = py_version
         self.framework_version = framework_version
 
-    def create_model(self, role=None, model_server_workers=None):
+    def create_model(self, model_server_workers=None, role=None):
         """Create a SageMaker ``PyTorchModel`` object that can be deployed to an ``Endpoint``.
 
         Args:

src/sagemaker/tensorflow/estimator.py

@@ -289,7 +289,7 @@ def _prepare_init_params_from_job_description(cls, job_details):
 
         return init_params
 
-    def create_model(self, role=None, model_server_workers=None):
+    def create_model(self, model_server_workers=None, role=None):
         """Create a SageMaker ``TensorFlowModel`` object that can be deployed to an ``Endpoint``.
 
         Args: