doc: correct MultiString/MULTI_STRING docstring (#1340)

Author: knakad

src/sagemaker/algorithm.py

@@ -328,8 +328,8 @@ def transformer(
             instance_type (str): Type of EC2 instance to use, for example,
                 'ml.c4.xlarge'.
             strategy (str): The strategy used to decide how to batch records in
-                a single request (default: None). Valid values: 'MULTI_RECORD'
-                and 'SINGLE_RECORD'.
+                a single request (default: None). Valid values: 'MultiRecord'
+                and 'SingleRecord'.
             assemble_with (str): How the output is assembled (default: None).
                 Valid values: 'Line' or 'None'.
             output_path (str): S3 location for saving the transform result. If

src/sagemaker/estimator.py

@@ -823,8 +823,8 @@ def transformer(
             instance_type (str): Type of EC2 instance to use, for example,
                 'ml.c4.xlarge'.
             strategy (str): The strategy used to decide how to batch records in
-                a single request (default: None). Valid values: 'MULTI_RECORD'
-                and 'SINGLE_RECORD'.
+                a single request (default: None). Valid values: 'MultiRecord'
+                and 'SingleRecord'.
             assemble_with (str): How the output is assembled (default: None).
                 Valid values: 'Line' or 'None'.
             output_path (str): S3 location for saving the transform result. If
@@ -1895,8 +1895,8 @@ def transformer(
             instance_type (str): Type of EC2 instance to use, for example,
                 'ml.c4.xlarge'.
             strategy (str): The strategy used to decide how to batch records in
-                a single request (default: None). Valid values: 'MULTI_RECORD'
-                and 'SINGLE_RECORD'.
+                a single request (default: None). Valid values: 'MultiRecord'
+                and 'SingleRecord'.
             assemble_with (str): How the output is assembled (default: None).
                 Valid values: 'Line' or 'None'.
             output_path (str): S3 location for saving the transform result. If

src/sagemaker/model.py

@@ -504,8 +504,8 @@ def transformer(
             instance_type (str): Type of EC2 instance to use, for example,
                 'ml.c4.xlarge'.
             strategy (str): The strategy used to decide how to batch records in
-                a single request (default: None). Valid values: 'MULTI_RECORD'
-                and 'SINGLE_RECORD'.
+                a single request (default: None). Valid values: 'MultiRecord'
+                and 'SingleRecord'.
             assemble_with (str): How the output is assembled (default: None).
                 Valid values: 'Line' or 'None'.
             output_path (str): S3 location for saving the transform result. If

src/sagemaker/pipeline.py

@@ -215,8 +215,8 @@ def transformer(
             instance_type (str): Type of EC2 instance to use, for example,
                 'ml.c4.xlarge'.
             strategy (str): The strategy used to decide how to batch records in
-                a single request (default: None). Valid values: 'MULTI_RECORD'
-                and 'SINGLE_RECORD'.
+                a single request (default: None). Valid values: 'MultiRecord'
+                and 'SingleRecord'.
             assemble_with (str): How the output is assembled (default: None).
                 Valid values: 'Line' or 'None'.
             output_path (str): S3 location for saving the transform result. If

src/sagemaker/session.py

@@ -1968,7 +1968,7 @@ def transform(
             job_name (str): Name of the transform job being created.
             model_name (str): Name of the SageMaker model being used for the transform job.
             strategy (str): The strategy used to decide how to batch records in a single request.
-                Possible values are 'MULTI_RECORD' and 'SINGLE_RECORD'.
+                Possible values are 'MultiRecord' and 'SingleRecord'.
             max_concurrent_transforms (int): The maximum number of HTTP requests to be made to
                 each individual transform container at one time.
             max_payload (int): Maximum size of the payload in a single HTTP request to the

src/sagemaker/tensorflow/estimator.py

@@ -772,7 +772,7 @@ def transformer(
             instance_count (int): Number of EC2 instances to use.
             instance_type (str): Type of EC2 instance to use, for example, 'ml.c4.xlarge'.
             strategy (str): The strategy used to decide how to batch records in a single request
-                (default: None). Valid values: 'MULTI_RECORD' and 'SINGLE_RECORD'.
+                (default: None). Valid values: 'MultiRecord' and 'SingleRecord'.
             assemble_with (str): How the output is assembled (default: None). Valid values: 'Line'
                 or 'None'.
             output_path (str): S3 location for saving the transform result. If not specified,

src/sagemaker/workflow/airflow.py

@@ -802,8 +802,8 @@ def transform_config_from_estimator(
         model_name (str): model name (default: None). If not specified, one will
             be generated.
         strategy (str): The strategy used to decide how to batch records in a
-            single request (default: None). Valid values: 'MULTI_RECORD' and
-            'SINGLE_RECORD'.
+            single request (default: None). Valid values: 'MultiRecord' and
+            'SingleRecord'.
         assemble_with (str): How the output is assembled (default: None). Valid
             values: 'Line' or 'None'.
         output_path (str): S3 location for saving the transform result. If not