public static interface ClarifyShapBaselineConfig.Builder extends SdkPojo, CopyableBuilder<ClarifyShapBaselineConfig.Builder,ClarifyShapBaselineConfig>
| Modifier and Type | Method and Description |
|---|---|
ClarifyShapBaselineConfig.Builder |
mimeType(String mimeType)
The MIME type of the baseline data.
|
ClarifyShapBaselineConfig.Builder |
shapBaseline(String shapBaseline)
The inline SHAP baseline data in string format.
|
ClarifyShapBaselineConfig.Builder |
shapBaselineUri(String shapBaselineUri)
The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildClarifyShapBaselineConfig.Builder mimeType(String mimeType)
The MIME type of the baseline data. Choose from 'text/csv' or
'application/jsonlines'. Defaults to 'text/csv'.
mimeType - The MIME type of the baseline data. Choose from 'text/csv' or
'application/jsonlines'. Defaults to 'text/csv'.ClarifyShapBaselineConfig.Builder shapBaseline(String 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.
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.ClarifyShapBaselineConfig.Builder shapBaselineUri(String 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.
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.Copyright © 2023. All rights reserved.