doc: updated description for "accept" parameter in batch transform (#1017)

Author: laurenyu

src/sagemaker/algorithm.py

@@ -365,8 +365,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests

src/sagemaker/estimator.py

@@ -685,8 +685,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests
@@ -1626,8 +1627,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests

src/sagemaker/model.py

@@ -484,8 +484,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests

src/sagemaker/pipeline.py

@@ -208,8 +208,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests

src/sagemaker/tensorflow/estimator.py

@@ -719,8 +719,9 @@ def transformer(
                 results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the transform output
                 (default: None).
-            accept (str): The content type accepted by the endpoint deployed during the transform
-                job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the transform job
                 (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests to be made to

src/sagemaker/transformer.py

@@ -60,8 +60,9 @@ def __init__(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             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

src/sagemaker/workflow/airflow.py

@@ -689,8 +689,9 @@ def transform_config_from_estimator(
             specified, results are stored to a default bucket.
         output_kms_key (str): Optional. KMS key ID for encrypting the transform
             output (default: None).
-        accept (str): The content type accepted by the endpoint deployed during
-            the transform job.
+        accept (str): The accept header passed by the client to
+            the inference endpoint. If it is supported by the endpoint,
+            it will be the format of the batch transform output.
         env (dict): Environment variables to be set for use during the transform
             job (default: None).
         max_concurrent_transforms (int): The maximum number of HTTP requests to