public static interface DocumentClassifierInputDataConfig.Builder extends SdkPojo, CopyableBuilder<DocumentClassifierInputDataConfig.Builder,DocumentClassifierInputDataConfig>
| Modifier and Type | Method and Description |
|---|---|
DocumentClassifierInputDataConfig.Builder |
augmentedManifests(AugmentedManifestsListItem... augmentedManifests)
A list of augmented manifest files that provide training data for your custom model.
|
DocumentClassifierInputDataConfig.Builder |
augmentedManifests(Collection<AugmentedManifestsListItem> augmentedManifests)
A list of augmented manifest files that provide training data for your custom model.
|
DocumentClassifierInputDataConfig.Builder |
augmentedManifests(Consumer<AugmentedManifestsListItem.Builder>... augmentedManifests)
A list of augmented manifest files that provide training data for your custom model.
|
DocumentClassifierInputDataConfig.Builder |
dataFormat(DocumentClassifierDataFormat dataFormat)
The format of your training data:
|
DocumentClassifierInputDataConfig.Builder |
dataFormat(String dataFormat)
The format of your training data:
|
DocumentClassifierInputDataConfig.Builder |
labelDelimiter(String labelDelimiter)
Indicates the delimiter used to separate each label for training a multi-label classifier.
|
DocumentClassifierInputDataConfig.Builder |
s3Uri(String s3Uri)
The Amazon S3 URI for the input data.
|
DocumentClassifierInputDataConfig.Builder |
testS3Uri(String testS3Uri)
This specifies the Amazon S3 location where the test annotations for an entity recognizer are located.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildDocumentClassifierInputDataConfig.Builder dataFormat(String dataFormat)
The format of your training data:
COMPREHEND_CSV: A two-column CSV file, where labels are provided in the first column, and
documents are provided in the second. If you use this value, you must provide the S3Uri
parameter in your request.
AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This
file is in JSON lines format. Each line is a complete JSON object that contains a training document and its
associated labels.
If you use this value, you must provide the AugmentedManifests parameter in your request.
If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.
dataFormat - The format of your training data:
COMPREHEND_CSV: A two-column CSV file, where labels are provided in the first column, and
documents are provided in the second. If you use this value, you must provide the S3Uri
parameter in your request.
AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon SageMaker Ground Truth.
This file is in JSON lines format. Each line is a complete JSON object that contains a training
document and its associated labels.
If you use this value, you must provide the AugmentedManifests parameter in your request.
If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.
DocumentClassifierDataFormat,
DocumentClassifierDataFormatDocumentClassifierInputDataConfig.Builder dataFormat(DocumentClassifierDataFormat dataFormat)
The format of your training data:
COMPREHEND_CSV: A two-column CSV file, where labels are provided in the first column, and
documents are provided in the second. If you use this value, you must provide the S3Uri
parameter in your request.
AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This
file is in JSON lines format. Each line is a complete JSON object that contains a training document and its
associated labels.
If you use this value, you must provide the AugmentedManifests parameter in your request.
If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.
dataFormat - The format of your training data:
COMPREHEND_CSV: A two-column CSV file, where labels are provided in the first column, and
documents are provided in the second. If you use this value, you must provide the S3Uri
parameter in your request.
AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon SageMaker Ground Truth.
This file is in JSON lines format. Each line is a complete JSON object that contains a training
document and its associated labels.
If you use this value, you must provide the AugmentedManifests parameter in your request.
If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.
DocumentClassifierDataFormat,
DocumentClassifierDataFormatDocumentClassifierInputDataConfig.Builder s3Uri(String s3Uri)
The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.
For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon
Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all
of them as input.
This parameter is required if you set DataFormat to COMPREHEND_CSV.
s3Uri - The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint
that you are calling. The URI can point to a single input file or it can provide the prefix for a
collection of input files.
For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file,
Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon
Comprehend uses all of them as input.
This parameter is required if you set DataFormat to COMPREHEND_CSV.
DocumentClassifierInputDataConfig.Builder testS3Uri(String testS3Uri)
This specifies the Amazon S3 location where the test annotations for an entity recognizer are located. The URI must be in the same AWS Region as the API endpoint that you are calling.
testS3Uri - This specifies the Amazon S3 location where the test annotations for an entity recognizer are located.
The URI must be in the same AWS Region as the API endpoint that you are calling.DocumentClassifierInputDataConfig.Builder labelDelimiter(String labelDelimiter)
Indicates the delimiter used to separate each label for training a multi-label classifier. The default delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an allowed character) by specifying it under Delimiter for labels. If the training documents use a delimiter other than the default or the delimiter you specify, the labels on that line will be combined to make a single unique label, such as LABELLABELLABEL.
labelDelimiter - Indicates the delimiter used to separate each label for training a multi-label classifier. The default
delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an
allowed character) by specifying it under Delimiter for labels. If the training documents use a
delimiter other than the default or the delimiter you specify, the labels on that line will be
combined to make a single unique label, such as LABELLABELLABEL.DocumentClassifierInputDataConfig.Builder augmentedManifests(Collection<AugmentedManifestsListItem> augmentedManifests)
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.
augmentedManifests - A list of augmented manifest files that provide training data for your custom model. An augmented
manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.
DocumentClassifierInputDataConfig.Builder augmentedManifests(AugmentedManifestsListItem... augmentedManifests)
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.
augmentedManifests - A list of augmented manifest files that provide training data for your custom model. An augmented
manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.
DocumentClassifierInputDataConfig.Builder augmentedManifests(Consumer<AugmentedManifestsListItem.Builder>... augmentedManifests)
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.
AugmentedManifestsListItem.Builder avoiding the need
to create one manually via
AugmentedManifestsListItem.builder().
When the Consumer completes,
SdkBuilder.build() is called
immediately and its result is passed to #augmentedManifests(List.
augmentedManifests - a consumer that will call methods on
AugmentedManifestsListItem.Builder#augmentedManifests(java.util.Collection) Copyright © 2023. All rights reserved.