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doc: correct MultiString/MULTI_STRING docstring #1340

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4 changes: 2 additions & 2 deletions src/sagemaker/algorithm.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down
8 changes: 4 additions & 4 deletions src/sagemaker/estimator.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand Down
4 changes: 2 additions & 2 deletions src/sagemaker/model.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down
4 changes: 2 additions & 2 deletions src/sagemaker/pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down
2 changes: 1 addition & 1 deletion src/sagemaker/session.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down
2 changes: 1 addition & 1 deletion src/sagemaker/tensorflow/estimator.py
Original file line number Diff line number Diff line change
Expand Up @@ -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,
Expand Down
4 changes: 2 additions & 2 deletions src/sagemaker/workflow/airflow.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down