/**
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0.
*/
#pragma once
#include Describes the dataset input data configuration for a document classifier
* model. For more information on how the input file is formatted, see Preparing
* training data in the Comprehend Developer Guide. See Also:
* AWS
* API Reference
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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.
*/ inline const Aws::String& GetLabelDelimiter() const{ return m_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.
*/ inline bool LabelDelimiterHasBeenSet() const { return m_labelDelimiterHasBeenSet; } /** *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.
*/ inline void SetLabelDelimiter(const Aws::String& value) { m_labelDelimiterHasBeenSet = true; m_labelDelimiter = value; } /** *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.
*/ inline void SetLabelDelimiter(Aws::String&& value) { m_labelDelimiterHasBeenSet = true; m_labelDelimiter = std::move(value); } /** *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.
*/ inline void SetLabelDelimiter(const char* value) { m_labelDelimiterHasBeenSet = true; m_labelDelimiter.assign(value); } /** *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.
*/ inline DatasetDocumentClassifierInputDataConfig& WithLabelDelimiter(const Aws::String& value) { SetLabelDelimiter(value); return *this;} /** *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.
*/ inline DatasetDocumentClassifierInputDataConfig& WithLabelDelimiter(Aws::String&& value) { SetLabelDelimiter(std::move(value)); return *this;} /** *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.
*/ inline DatasetDocumentClassifierInputDataConfig& WithLabelDelimiter(const char* value) { SetLabelDelimiter(value); return *this;} private: Aws::String m_s3Uri; bool m_s3UriHasBeenSet = false; Aws::String m_labelDelimiter; bool m_labelDelimiterHasBeenSet = false; }; } // namespace Model } // namespace Comprehend } // namespace Aws