Fix rcf default batch_size

Author: Dan Choi

src/sagemaker/amazon/randomcutforest.py

@@ -87,7 +87,7 @@ def create_model(self):
 
         return RandomCutForestModel(self.model_data, self.role, sagemaker_session=self.sagemaker_session)
 
-    def _prepare_for_training(self, records, mini_batch_size=MINI_BATCH_SIZE, job_name=None):
+    def _prepare_for_training(self, records, mini_batch_size=1000, job_name=None):
         if mini_batch_size != self.MINI_BATCH_SIZE:
             raise ValueError("Random Cut Forest uses a fixed mini_batch_size of {}"
                              .format(self.MINI_BATCH_SIZE))