Class CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder
- All Implemented Interfaces:
software.amazon.jsii.Builder<CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty>
- Enclosing interface:
CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionaugmentedManifests(List<? extends Object> augmentedManifests) augmentedManifests(IResolvable augmentedManifests) build()Builds the configured instance.dataFormat(String dataFormat) documentReaderConfig(CfnDocumentClassifierPropsMixin.DocumentReaderConfigProperty documentReaderConfig) documentReaderConfig(IResolvable documentReaderConfig) documents(IResolvable documents) documentType(String documentType) labelDelimiter(String labelDelimiter)
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Constructor Details
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Builder
public Builder()
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Method Details
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augmentedManifests
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder augmentedManifests(IResolvable augmentedManifests) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getAugmentedManifests()- Parameters:
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
DataFormattoAUGMENTED_MANIFEST.- Returns:
this
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augmentedManifests
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder augmentedManifests(List<? extends Object> augmentedManifests) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getAugmentedManifests()- Parameters:
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
DataFormattoAUGMENTED_MANIFEST.- Returns:
this
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dataFormat
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder dataFormat(String dataFormat) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getDataFormat()- Parameters:
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 theS3Uriparameter 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
AugmentedManifestsparameter in your request.If you don't specify a value, Amazon Comprehend uses
COMPREHEND_CSVas the default.- Returns:
this
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documentReaderConfig
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder documentReaderConfig(IResolvable documentReaderConfig) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getDocumentReaderConfig()- Parameters:
documentReaderConfig- the value to be set.- Returns:
this
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documentReaderConfig
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder documentReaderConfig(CfnDocumentClassifierPropsMixin.DocumentReaderConfigProperty documentReaderConfig) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getDocumentReaderConfig()- Parameters:
documentReaderConfig- the value to be set.- Returns:
this
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documents
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder documents(IResolvable documents) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getDocuments()- Parameters:
documents- The S3 location of the training documents. This parameter is required in a request to create a native document model.- Returns:
this
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documents
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder documents(CfnDocumentClassifierPropsMixin.DocumentClassifierDocumentsProperty documents) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getDocuments()- Parameters:
documents- The S3 location of the training documents. This parameter is required in a request to create a native document model.- Returns:
this
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documentType
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder documentType(String documentType) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getDocumentType()- Parameters:
documentType- The type of input documents for training the model. Provide plain-text documents to create a plain-text model, and provide semi-structured documents to create a native document model.- Returns:
this
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labelDelimiter
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder labelDelimiter(String labelDelimiter) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getLabelDelimiter()- Parameters:
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.- Returns:
this
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s3Uri
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder s3Uri(String s3Uri) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getS3Uri()- Parameters:
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
DataFormattoCOMPREHEND_CSV.- Returns:
this
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testS3Uri
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.Builder testS3Uri(String testS3Uri) Sets the value ofCfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty.getTestS3Uri()- Parameters:
testS3Uri- This specifies the Amazon S3 location that contains the test annotations for the document classifier. The URI must be in the same AWS Region as the API endpoint that you are calling.- Returns:
this
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build
@Stability(Stable) public CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty build()Builds the configured instance.- Specified by:
buildin interfacesoftware.amazon.jsii.Builder<CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty>- Returns:
- a new instance of
CfnDocumentClassifierPropsMixin.DocumentClassifierInputDataConfigProperty - Throws:
NullPointerException- if any required attribute was not provided
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