AWS::SageMaker::EndpointConfig ClarifyShapBaselineConfig

The configuration for the SHAP baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.

Note

• The number of records in the baseline data determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

• ShapBaseline and ShapBaselineUri are mutually exclusive parameters. One or the either is required to configure a SHAP baseline.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{
  "MimeType" : String,
  "ShapBaseline" : String,
  "ShapBaselineUri" : String
}

YAML

  MimeType: String
  ShapBaseline: String
  ShapBaselineUri: String

Properties

MimeType

The MIME type of the baseline data. Choose from 'text/csv' or 'application/jsonlines'. Defaults to 'text/csv'.

Required: No

Type: String

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*\/[a-zA-Z0-9](-*[a-zA-Z0-9+.])*

Maximum: 255

Update requires: Replacement

ShapBaseline

The inline SHAP baseline data in string format. ShapBaseline can have one or multiple records to be used as the baseline dataset. The format of the SHAP baseline file should be the same format as the training dataset. For example, if the training dataset is in CSV format and each record contains four features, and all features are numerical, then the format of the baseline data should also share these characteristics. For natural language processing (NLP) of text columns, the baseline value should be the value used to replace the unit of text specified by the Granularity of the TextConfig parameter. The size limit for ShapBasline is 4 KB. Use the ShapBaselineUri parameter if you want to provide more than 4 KB of baseline data.

Required: No

Type: String

Pattern: [\s\S]+

Minimum: 1

Maximum: 4096

Update requires: Replacement

ShapBaselineUri

The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored. The format of the SHAP baseline file should be the same format as the format of the training dataset. For example, if the training dataset is in CSV format, and each record in the training dataset has four features, and all features are numerical, then the baseline file should also have this same format. Each record should contain only the features. If you are using a virtual private cloud (VPC), the ShapBaselineUri should be accessible to the VPC. For more information about setting up endpoints with Amazon Virtual Private Cloud, see Give SageMaker access to Resources in your Amazon Virtual Private Cloud.

Required: No

Type: String

Pattern: ^(https|s3)://([^/]+)/?(.*)$

Maximum: 1024

Update requires: Replacement