Merge branch 'master' into xgboost_network_isolation

Author: awsbmillare

.github/ISSUE_TEMPLATE/bug_report.md

@@ -2,7 +2,7 @@
 name: Bug report
 about: File a report to help us reproduce and fix the problem
 title: ''
-labels: ''
+labels: 'bug'
 assignees: ''
 
 ---

.github/ISSUE_TEMPLATE/feature_request.md

@@ -2,7 +2,7 @@
 name: Feature request
 about: Suggest new functionality for this library
 title: ''
-labels: ''
+labels: 'feature request'
 assignees: ''
 
 ---

.github/PULL_REQUEST_TEMPLATE.md

@@ -11,13 +11,15 @@ _Put an `x` in the boxes that apply. You can also fill these out after creating
 #### General
 
 - [ ] I have read the [CONTRIBUTING](https://github.com/aws/sagemaker-python-sdk/blob/master/CONTRIBUTING.md) doc
+- [ ] I certify that the changes I am introducing will be backword compatible, and I have discussed concerns about this, if any, with the Python SDK team
 - [ ] I used the commit message format described in [CONTRIBUTING](https://github.com/aws/sagemaker-python-sdk/blob/master/CONTRIBUTING.md#committing-your-change)
 - [ ] I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
 - [ ] I have updated any necessary documentation, including [READMEs](https://github.com/aws/sagemaker-python-sdk/blob/master/README.rst) and [API docs](https://github.com/aws/sagemaker-python-sdk/tree/master/doc) (if appropriate)
 
 #### Tests
 
 - [ ] I have added tests that prove my fix is effective or that my feature works (if appropriate)
+- [ ] I have added unit and/or integration tests as appropriate to ensure backward compatibility of the changes
 - [ ] I have checked that my tests are not configured for a specific region or account (if appropriate)
 - [ ] I have used [`unique_name_from_base`](https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/utils.py#L77) to create resource names in integ tests (if appropriate)
 

CHANGELOG.md

@@ -1,5 +1,43 @@
 # Changelog
 
+## v2.59.8 (2021-10-07)
+
+### Bug Fixes and Other Changes
+
+ * fix feature store ingestion via data wrangler test
+
+## v2.59.7 (2021-10-04)
+
+### Bug Fixes and Other Changes
+
+ * update feature request label
+ * update bug template
+
+## v2.59.6 (2021-09-30)
+
+### Bug Fixes and Other Changes
+
+ * ParamValidationError when scheduling a Clarify model monitor
+
+## v2.59.5 (2021-09-29)
+
+### Bug Fixes and Other Changes
+
+ * support maps in step parameters
+
+## v2.59.4 (2021-09-27)
+
+### Bug Fixes and Other Changes
+
+ * add checks for ExecutionRole in UserSettings, adds more unit tests
+ * add pytorch 1.8.1 for huggingface
+
+## v2.59.3.post0 (2021-09-22)
+
+### Documentation Changes
+
+ * Info about offline s3 bucket key when creating feature group
+
 ## v2.59.3 (2021-09-20)
 
 ## v2.59.2 (2021-09-15)

VERSION

@@ -1 +1 @@
-2.59.4.dev0
+2.59.9.dev0

src/sagemaker/clarify.py

@@ -228,7 +228,7 @@ def __init__(
         probability_threshold=None,
         label_headers=None,
     ):
-        """Initializes a model output config to extract the predicted label.
+        """Initializes a model output config to extract the predicted label or predicted score(s).
 
         The following examples show different parameter configurations depending on the endpoint:
             * Regression Task: The model returns the score, e.g. 1.2. we don't need to specify
@@ -255,11 +255,11 @@ def __init__(
                     'label_headers=['cat','dog','fish']' and infer the predicted label to be 'fish.'
 
         Args:
-            label (str or int or list[int]): Optional index or JSONPath location in the model
-                output for the prediction. In case, this is a predicted label of the same type as
-                the label in the dataset no further arguments need to be specified.
-            probability (str or int or list[int]): Optional index or JSONPath location in the model
-                output for the predicted scores.
+            label (str or int): Index or JSONPath location in the model output for the prediction.
+                In case, this is a predicted label of the same type as the label in the dataset,
+                no further arguments need to be specified.
+            probability (str or int): Index or JSONPath location in the model output
+                for the predicted score(s).
             probability_threshold (float): An optional value for binary prediction tasks in which
                 the model returns a probability, to indicate the threshold to convert the
                 prediction to a boolean value. Default is 0.5.

src/sagemaker/feature_store/feature_group.py

@@ -457,6 +457,13 @@ def create(
             online_store_kms_key_id (str): KMS key id for online store.
             enable_online_store (bool): whether to enable online store or not.
             offline_store_kms_key_id (str): KMS key id for offline store.
+                If a KMS encryption key is not specified, SageMaker encrypts all data at
+                rest using the default AWS KMS key. By defining your bucket-level key for
+                SSE, you can reduce the cost of AWS KMS requests.
+                For more information, see
+                `Bucket Key
+                <https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucket-key.html>`_
+                in the Amazon S3 User Guide.
             disable_glue_table_creation (bool): whether to turn off Glue table creation no not.
             data_catalog_config (DataCatalogConfig): configuration for Metadata store.
             description (str): description of the FeatureGroup.

src/sagemaker/huggingface/estimator.py

@@ -178,6 +178,8 @@ def __init__(
         if "enable_sagemaker_metrics" not in kwargs:
             kwargs["enable_sagemaker_metrics"] = True
 
+        kwargs["py_version"] = self.py_version
+
         super(HuggingFace, self).__init__(
             entry_point, source_dir, hyperparameters, image_uri=image_uri, **kwargs
         )