Periodic update - 5/08/19

doc_source/API_AnnotationConsolidationConfig.md

@@ -18,6 +18,8 @@ For the built\-in bounding box, image classification, semantic segmentation, and
    `arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox` 
 
    `arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox` 
+
+   `arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox` 
 +  *Image classification* \- Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers\.
 
    `arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass` 
@@ -29,6 +31,8 @@ For the built\-in bounding box, image classification, semantic segmentation, and
    `arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass` 
 
    `arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass` 
+
+   `arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass` 
 +  *Semantic segmentation* \- Treats each pixel in an image as a multi\-class classification and treats pixel annotations from workers as "votes" for the correct label\.
 
    `arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation` 
@@ -40,6 +44,8 @@ For the built\-in bounding box, image classification, semantic segmentation, and
    `arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation` 
 
    `arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation` 
+
+   `arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation` 
 +  *Text classification* \- Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers\.
 
    `arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass` 
@@ -51,6 +57,8 @@ For the built\-in bounding box, image classification, semantic segmentation, and
    `arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass` 
 
    `arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass` 
+
+   `arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass` 
 For more information, see [Annotation Consolidation](http://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html)\.  
 Type: String  
 Length Constraints: Maximum length of 2048\.  

doc_source/API_CompilationJobSummary.md

@@ -37,7 +37,7 @@ Required: No
  **CompilationTargetDevice**   <a name="SageMaker-Type-CompilationJobSummary-CompilationTargetDevice"></a>
 The type of device that the model will run on after compilation has completed\.  
 Type: String  
-Valid Values:` lambda | ml_m4 | ml_m5 | ml_c4 | ml_c5 | ml_p2 | ml_p3 | jetson_tx1 | jetson_tx2 | rasp3b | deeplens | rk3399 | rk3288`   
+Valid Values:` lambda | ml_m4 | ml_m5 | ml_c4 | ml_c5 | ml_p2 | ml_p3 | jetson_tx1 | jetson_tx2 | jetson_nano | rasp3b | deeplens | rk3399 | rk3288`   
 Required: Yes
 
  **CreationTime**   <a name="SageMaker-Type-CompilationJobSummary-CreationTime"></a>

doc_source/API_ContainerDefinition.md

@@ -29,15 +29,16 @@ Pattern: `[\S]+`
 Required: No
 
  **ModelDataUrl**   <a name="SageMaker-Type-ContainerDefinition-ModelDataUrl"></a>
-The S3 path where the model artifacts, which result from model training, are stored\. This path must point to a single gzip compressed tar archive \(\.tar\.gz suffix\)\.   
+The S3 path where the model artifacts, which result from model training, are stored\. This path must point to a single gzip compressed tar archive \(\.tar\.gz suffix\)\. The S3 path is required for Amazon SageMaker built\-in algorithms, but not if you use your own algorithms\. For more information on built\-in algorithms, see [Common Parameters](http://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html)\.   
 If you provide a value for this parameter, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provide\. AWS STS is activated in your IAM user account by default\. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region\. For more information, see [Activating and Deactivating AWS STS in an AWS Region](http://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_enable-regions.html) in the *AWS Identity and Access Management User Guide*\.  
+If you use a built\-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to the model artifacts in `ModelDataUrl`\.
 Type: String  
 Length Constraints: Maximum length of 1024\.  
 Pattern: `^(https|s3)://([^/]+)/?(.*)$`   
 Required: No
 
  **ModelPackageName**   <a name="SageMaker-Type-ContainerDefinition-ModelPackageName"></a>
-The name of the model package to use to create the model\.  
+The name or Amazon Resource Name \(ARN\) of the model package to use to create the model\.  
 Type: String  
 Length Constraints: Minimum length of 1\. Maximum length of 170\.  
 Pattern: `(arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:[a-z\-]*\/)?([a-zA-Z0-9]([a-zA-Z0-9-]){0,62})(?<!-)$`   

doc_source/API_CreateCompilationJob.md

@@ -59,7 +59,7 @@ Type: [OutputConfig](API_OutputConfig.md) object
 Required: Yes
 
  ** [RoleArn](#API_CreateCompilationJob_RequestSyntax) **   <a name="SageMaker-CreateCompilationJob-request-RoleArn"></a>
-The Amazon Resource Name \(ARN\) of an IIAMAM role that enables Amazon SageMaker to perform tasks on your behalf\.   
+The Amazon Resource Name \(ARN\) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf\.   
 During model compilation, Amazon SageMaker needs your permission to:  
 + Read input data from an S3 bucket
 + Write model artifacts to an S3 bucket

doc_source/API_CreateEndpoint.md

@@ -3,7 +3,8 @@
 Creates an endpoint using the endpoint configuration specified in the request\. Amazon SageMaker uses the endpoint to provision resources and deploy models\. You create the endpoint configuration with the [CreateEndpointConfig](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html) API\. 
 
 **Note**  
- Use this API only for hosting models using Amazon SageMaker hosting services\. 
+ Use this API only for hosting models using Amazon SageMaker hosting services\.   
+ You must not delete an `EndpointConfig` in use by an endpoint that is live or while the `UpdateEndpoint` or `CreateEndpoint` operations are being performed on the endpoint\. To update an endpoint, you must create a new `EndpointConfig`\.
 
 The endpoint name must be unique within an AWS Region in your AWS account\. 
 

doc_source/API_CreateEndpointConfig.md

@@ -55,13 +55,13 @@ Pattern: `.*`
 Required: No
 
  ** [ProductionVariants](#API_CreateEndpointConfig_RequestSyntax) **   <a name="SageMaker-CreateEndpointConfig-request-ProductionVariants"></a>
-An array of `ProductionVariant` objects, one for each model that you want to host at this endpoint\.  
+An list of `ProductionVariant` objects, one for each model that you want to host at this endpoint\.  
 Type: Array of [ProductionVariant](API_ProductionVariant.md) objects  
 Array Members: Minimum number of 1 item\.  
 Required: Yes
 
  ** [Tags](#API_CreateEndpointConfig_RequestSyntax) **   <a name="SageMaker-CreateEndpointConfig-request-Tags"></a>
-An array of key\-value pairs\. For more information, see [Using Cost Allocation Tags](https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what) in the *AWS Billing and Cost Management User Guide*\.   
+A list of key\-value pairs\. For more information, see [Using Cost Allocation Tags](https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what) in the * AWS Billing and Cost Management User Guide*\.   
 Type: Array of [Tag](API_Tag.md) objects  
 Array Members: Minimum number of 0 items\. Maximum number of 50 items\.  
 Required: No

doc_source/API_CreateHyperParameterTuningJob.md

@@ -144,7 +144,7 @@ Required: No
  ** [TrainingJobDefinition](#API_CreateHyperParameterTuningJob_RequestSyntax) **   <a name="SageMaker-CreateHyperParameterTuningJob-request-TrainingJobDefinition"></a>
 The [HyperParameterTrainingJobDefinition](API_HyperParameterTrainingJobDefinition.md) object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition\.  
 Type: [HyperParameterTrainingJobDefinition](API_HyperParameterTrainingJobDefinition.md) object  
-Required: Yes
+Required: No
 
  ** [WarmStartConfig](#API_CreateHyperParameterTuningJob_RequestSyntax) **   <a name="SageMaker-CreateHyperParameterTuningJob-request-WarmStartConfig"></a>
 Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point\. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job\.  

doc_source/API_CreateModel.md

@@ -97,7 +97,7 @@ Array Members: Minimum number of 0 items\. Maximum number of 50 items\.
 Required: No
 
  ** [VpcConfig](#API_CreateModel_RequestSyntax) **   <a name="SageMaker-CreateModel-request-VpcConfig"></a>
-A [VpcConfig](API_VpcConfig.md) object that specifies the VPC that you want your model to connect to\. Control access to and from your model container by configuring the VPC\. `VpcConfig` is used in hosting services and in batch transform\. For more information, see [Protect Endpoints by Using an Amazon Virtual Private Cloud](https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html) and [Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud](https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html)\.  
+A [VpcConfig](https://docs.aws.amazon.com/sagemaker/latest/dg/API_VpcConfig.html) object that specifies the VPC that you want your model to connect to\. Control access to and from your model container by configuring the VPC\. `VpcConfig` is used in hosting services and in batch transform\. For more information, see [Protect Endpoints by Using an Amazon Virtual Private Cloud](https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html) and [Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud](https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html)\.  
 Type: [VpcConfig](API_VpcConfig.md) object  
 Required: No
 

doc_source/API_CreateNotebookInstance.md

@@ -87,7 +87,7 @@ Valid Values:` ml.t2.medium | ml.t2.large | ml.t2.xlarge | ml.t2.2xlarge | ml.t3
 Required: Yes
 
  ** [KmsKeyId](#API_CreateNotebookInstance_RequestSyntax) **   <a name="SageMaker-CreateNotebookInstance-request-KmsKeyId"></a>
- If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that is attached to your notebook instance\. The KMS key you provide must be enabled\. For information, see [Enabling and Disabling Keys](http://docs.aws.amazon.com/kms/latest/developerguide/enabling-keys.html) in the *AWS Key Management Service Developer Guide*\.  
+The Amazon Resource Name \(ARN\) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to your notebook instance\. The KMS key you provide must be enabled\. For information, see [Enabling and Disabling Keys](http://docs.aws.amazon.com/kms/latest/developerguide/enabling-keys.html) in the *AWS Key Management Service Developer Guide*\.  
 Type: String  
 Length Constraints: Maximum length of 2048\.  
 Pattern: `.*`   

doc_source/API_CreateWorkteam.md

@@ -18,6 +18,9 @@ You cannot create more than 25 work teams in an account and region\.
          }
       }
    ],
+   "[NotificationConfiguration](#SageMaker-CreateWorkteam-request-NotificationConfiguration)": { 
+      "[NotificationTopicArn](API_NotificationConfiguration.md#SageMaker-Type-NotificationConfiguration-NotificationTopicArn)": "string"
+   },
    "[Tags](#SageMaker-CreateWorkteam-request-Tags)": [ 
       { 
          "[Key](API_Tag.md#SageMaker-Type-Tag-Key)": "string",
@@ -48,6 +51,11 @@ Type: Array of [MemberDefinition](API_MemberDefinition.md) objects
 Array Members: Minimum number of 1 item\. Maximum number of 10 items\.  
 Required: Yes
 
+ ** [NotificationConfiguration](#API_CreateWorkteam_RequestSyntax) **   <a name="SageMaker-CreateWorkteam-request-NotificationConfiguration"></a>
+Configures notification of workers regarding available or expiring work items\.  
+Type: [NotificationConfiguration](API_NotificationConfiguration.md) object  
+Required: No
+
  ** [Tags](#API_CreateWorkteam_RequestSyntax) **   <a name="SageMaker-CreateWorkteam-request-Tags"></a>
 Type: Array of [Tag](API_Tag.md) objects  
 Array Members: Minimum number of 0 items\. Maximum number of 50 items\.  

doc_source/API_DataSource.md

@@ -7,7 +7,7 @@ Describes the location of the channel data\.
  **S3DataSource**   <a name="SageMaker-Type-DataSource-S3DataSource"></a>
 The S3 location of the data source that is associated with a channel\.  
 Type: [S3DataSource](API_S3DataSource.md) object  
-Required: Yes
+Required: No
 
 ## See Also<a name="API_DataSource_SeeAlso"></a>
 

doc_source/API_DescribeWorkteam.md

@@ -40,6 +40,9 @@ Required: Yes
             }
          }
       ],
+      "[NotificationConfiguration](API_Workteam.md#SageMaker-Type-Workteam-NotificationConfiguration)": { 
+         "[NotificationTopicArn](API_NotificationConfiguration.md#SageMaker-Type-NotificationConfiguration-NotificationTopicArn)": "string"
+      },
       "[ProductListingIds](API_Workteam.md#SageMaker-Type-Workteam-ProductListingIds)": [ "string" ],
       "[SubDomain](API_Workteam.md#SageMaker-Type-Workteam-SubDomain)": "string",
       "[WorkteamArn](API_Workteam.md#SageMaker-Type-Workteam-WorkteamArn)": "string",

doc_source/API_HumanTaskConfig.md

@@ -49,6 +49,11 @@ For the built\-in bounding box, image classification, semantic segmentation, and
 +  `arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass` 
 +  `arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation` 
 +  `arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass` 
+ **Asia Pacific \(Sydney \(ap\-southeast\-1\):**   
++  `arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox` 
++  `arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass` 
++  `arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation` 
++  `arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass` 
 Type: String  
 Length Constraints: Maximum length of 2048\.  
 Pattern: `arn:aws[a-z\-]*:lambda:[a-z]{2}-[a-z]+-\d{1}:\d{12}:function:[a-zA-Z0-9-_\.]+(:(\$LATEST|[a-zA-Z0-9-_]+))?`   

doc_source/API_HyperParameterTuningJobConfig.md

@@ -7,12 +7,12 @@ Configures a hyperparameter tuning job\.
  **HyperParameterTuningJobObjective**   <a name="SageMaker-Type-HyperParameterTuningJobConfig-HyperParameterTuningJobObjective"></a>
 The [HyperParameterTuningJobObjective](API_HyperParameterTuningJobObjective.md) object that specifies the objective metric for this tuning job\.  
 Type: [HyperParameterTuningJobObjective](API_HyperParameterTuningJobObjective.md) object  
-Required: Yes
+Required: No
 
  **ParameterRanges**   <a name="SageMaker-Type-HyperParameterTuningJobConfig-ParameterRanges"></a>
 The [ParameterRanges](API_ParameterRanges.md) object that specifies the ranges of hyperparameters that this tuning job searches\.  
 Type: [ParameterRanges](API_ParameterRanges.md) object  
-Required: Yes
+Required: No
 
  **ResourceLimits**   <a name="SageMaker-Type-HyperParameterTuningJobConfig-ResourceLimits"></a>
 The [ResourceLimits](API_ResourceLimits.md) object that specifies the maximum number of training jobs and parallel training jobs for this tuning job\.  

doc_source/API_LabelingJobForWorkteamSummary.md

@@ -26,6 +26,12 @@ The name of the labeling job that the work team is assigned to\.
 Type: String  
 Length Constraints: Minimum length of 1\. Maximum length of 63\.  
 Pattern: `^[a-zA-Z0-9](-*[a-zA-Z0-9])*`   
+Required: No
+
+ **NumberOfHumanWorkersPerDataObject**   <a name="SageMaker-Type-LabelingJobForWorkteamSummary-NumberOfHumanWorkersPerDataObject"></a>
+The configured number of workers per data object\.  
+Type: Integer  
+Valid Range: Minimum value of 1\. Maximum value of 9\.  
 Required: No
 
  **WorkRequesterAccountId**   <a name="SageMaker-Type-LabelingJobForWorkteamSummary-WorkRequesterAccountId"></a>

doc_source/API_ListLabelingJobsForWorkteam.md

@@ -86,6 +86,7 @@ Required: Yes
             "[Total](API_LabelCountersForWorkteam.md#SageMaker-Type-LabelCountersForWorkteam-Total)": number
          },
          "[LabelingJobName](API_LabelingJobForWorkteamSummary.md#SageMaker-Type-LabelingJobForWorkteamSummary-LabelingJobName)": "string",
+         "[NumberOfHumanWorkersPerDataObject](API_LabelingJobForWorkteamSummary.md#SageMaker-Type-LabelingJobForWorkteamSummary-NumberOfHumanWorkersPerDataObject)": number,
          "[WorkRequesterAccountId](API_LabelingJobForWorkteamSummary.md#SageMaker-Type-LabelingJobForWorkteamSummary-WorkRequesterAccountId)": "string"
       }
    ],

doc_source/API_ListWorkteams.md

@@ -71,6 +71,9 @@ Required: No
                }
             }
          ],
+         "[NotificationConfiguration](API_Workteam.md#SageMaker-Type-Workteam-NotificationConfiguration)": { 
+            "[NotificationTopicArn](API_NotificationConfiguration.md#SageMaker-Type-NotificationConfiguration-NotificationTopicArn)": "string"
+         },
          "[ProductListingIds](API_Workteam.md#SageMaker-Type-Workteam-ProductListingIds)": [ "string" ],
          "[SubDomain](API_Workteam.md#SageMaker-Type-Workteam-SubDomain)": "string",
          "[WorkteamArn](API_Workteam.md#SageMaker-Type-Workteam-WorkteamArn)": "string",

doc_source/API_MetricDefinition.md

@@ -15,6 +15,7 @@ Required: Yes
 A regular expression that searches the output of a training job and gets the value of the metric\. For more information about using regular expressions to define metrics, see [Defining Objective Metrics](https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics.html)\.  
 Type: String  
 Length Constraints: Minimum length of 1\. Maximum length of 500\.  
+Pattern: `.+`   
 Required: Yes
 
 ## See Also<a name="API_MetricDefinition_SeeAlso"></a>

doc_source/API_NotificationConfiguration.md

@@ -0,0 +1,20 @@
+# NotificationConfiguration<a name="API_NotificationConfiguration"></a>
+
+Configures SNS notifications of available or expiring work items for work teams\.
+
+## Contents<a name="API_NotificationConfiguration_Contents"></a>
+
+ **NotificationTopicArn**   <a name="SageMaker-Type-NotificationConfiguration-NotificationTopicArn"></a>
+The ARN for the SNS topic to which notifications should be published\.  
+Type: String  
+Pattern: `arn:aws[a-z\-]*:sns:[a-z0-9\-]*:[0-9]{12}:[a-zA-Z0-9_.-]*`   
+Required: No
+
+## See Also<a name="API_NotificationConfiguration_SeeAlso"></a>
+
+For more information about using this API in one of the language\-specific AWS SDKs, see the following:
++  [AWS SDK for C\+\+](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/NotificationConfiguration) 
++  [AWS SDK for Go](https://docs.aws.amazon.com/goto/SdkForGoV1/sagemaker-2017-07-24/NotificationConfiguration) 
++  [AWS SDK for Go \- Pilot](https://docs.aws.amazon.com/goto/SdkForGoPilot/sagemaker-2017-07-24/NotificationConfiguration) 
++  [AWS SDK for Java](https://docs.aws.amazon.com/goto/SdkForJava/sagemaker-2017-07-24/NotificationConfiguration) 
++  [AWS SDK for Ruby V2](https://docs.aws.amazon.com/goto/SdkForRubyV2/sagemaker-2017-07-24/NotificationConfiguration) 

doc_source/API_OutputConfig.md

@@ -14,7 +14,7 @@ Required: Yes
  **TargetDevice**   <a name="SageMaker-Type-OutputConfig-TargetDevice"></a>
 Identifies the device that you want to run your model on after it has been compiled\. For example: ml\_c5\.  
 Type: String  
-Valid Values:` lambda | ml_m4 | ml_m5 | ml_c4 | ml_c5 | ml_p2 | ml_p3 | jetson_tx1 | jetson_tx2 | rasp3b | deeplens | rk3399 | rk3288`   
+Valid Values:` lambda | ml_m4 | ml_m5 | ml_c4 | ml_c5 | ml_p2 | ml_p3 | jetson_tx1 | jetson_tx2 | jetson_nano | rasp3b | deeplens | rk3399 | rk3288`   
 Required: Yes
 
 ## See Also<a name="API_OutputConfig_SeeAlso"></a>