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/*
* Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.comprehend.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* The input properties for training a document classifier.
*
*
* For more information on how the input file is formatted, see Preparing training data in the
* Comprehend Developer Guide.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class DocumentClassifierInputDataConfig implements Serializable, Cloneable, StructuredPojo {
/**
*
* 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.
*
*/
private String dataFormat;
/**
*
* 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.
*
*/
private String s3Uri;
/**
*
* This specifies the Amazon S3 location that contains the test annotations for the document classifier. The URI
* must be in the same Amazon Web Services Region as the API endpoint that you are calling.
*
*/
private String testS3Uri;
/**
*
* 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.
*
*/
private String labelDelimiter;
/**
*
* 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.
*
*/
private java.util.List augmentedManifests;
/**
*
* 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.
*
*/
private String documentType;
/**
*
* The S3 location of the training documents. This parameter is required in a request to create a native document
* model.
*
*/
private DocumentClassifierDocuments documents;
private DocumentReaderConfig documentReaderConfig;
/**
*
* 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.
*
*
* @param 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.
* @see DocumentClassifierDataFormat
*/
public void setDataFormat(String dataFormat) {
this.dataFormat = 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.
*
*
* @return 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.
* @see DocumentClassifierDataFormat
*/
public String getDataFormat() {
return this.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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
* @see DocumentClassifierDataFormat
*/
public DocumentClassifierInputDataConfig withDataFormat(String dataFormat) {
setDataFormat(dataFormat);
return this;
}
/**
*
* 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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
* @see DocumentClassifierDataFormat
*/
public DocumentClassifierInputDataConfig withDataFormat(DocumentClassifierDataFormat dataFormat) {
this.dataFormat = dataFormat.toString();
return this;
}
/**
*
* 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.
*
*
* @param 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.
*/
public void setS3Uri(String s3Uri) {
this.s3Uri = 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.
*
*
* @return 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.
*/
public String getS3Uri() {
return this.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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withS3Uri(String s3Uri) {
setS3Uri(s3Uri);
return this;
}
/**
*
* This specifies the Amazon S3 location that contains the test annotations for the document classifier. The URI
* must be in the same Amazon Web Services Region as the API endpoint that you are calling.
*
*
* @param testS3Uri
* This specifies the Amazon S3 location that contains the test annotations for the document classifier. The
* URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.
*/
public void setTestS3Uri(String testS3Uri) {
this.testS3Uri = testS3Uri;
}
/**
*
* This specifies the Amazon S3 location that contains the test annotations for the document classifier. The URI
* must be in the same Amazon Web Services Region as the API endpoint that you are calling.
*
*
* @return This specifies the Amazon S3 location that contains the test annotations for the document classifier. The
* URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.
*/
public String getTestS3Uri() {
return this.testS3Uri;
}
/**
*
* This specifies the Amazon S3 location that contains the test annotations for the document classifier. The URI
* must be in the same Amazon Web Services Region as the API endpoint that you are calling.
*
*
* @param testS3Uri
* This specifies the Amazon S3 location that contains the test annotations for the document classifier. The
* URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withTestS3Uri(String testS3Uri) {
setTestS3Uri(testS3Uri);
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.
*
*
* @param 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.
*/
public void setLabelDelimiter(String labelDelimiter) {
this.labelDelimiter = 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.
*
*
* @return 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.
*/
public String getLabelDelimiter() {
return this.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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withLabelDelimiter(String labelDelimiter) {
setLabelDelimiter(labelDelimiter);
return this;
}
/**
*
* 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.
*
*
* @return 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.
*/
public java.util.List getAugmentedManifests() {
return 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.
*
*
* @param 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.
*/
public void setAugmentedManifests(java.util.Collection augmentedManifests) {
if (augmentedManifests == null) {
this.augmentedManifests = null;
return;
}
this.augmentedManifests = new java.util.ArrayList(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.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setAugmentedManifests(java.util.Collection)} or {@link #withAugmentedManifests(java.util.Collection)} if
* you want to override the existing values.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withAugmentedManifests(AugmentedManifestsListItem... augmentedManifests) {
if (this.augmentedManifests == null) {
setAugmentedManifests(new java.util.ArrayList(augmentedManifests.length));
}
for (AugmentedManifestsListItem ele : augmentedManifests) {
this.augmentedManifests.add(ele);
}
return this;
}
/**
*
* 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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withAugmentedManifests(java.util.Collection augmentedManifests) {
setAugmentedManifests(augmentedManifests);
return this;
}
/**
*
* 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.
*
*
* @param 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.
* @see DocumentClassifierDocumentTypeFormat
*/
public void setDocumentType(String documentType) {
this.documentType = 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.
*
*
* @return 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.
* @see DocumentClassifierDocumentTypeFormat
*/
public String getDocumentType() {
return this.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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
* @see DocumentClassifierDocumentTypeFormat
*/
public DocumentClassifierInputDataConfig withDocumentType(String documentType) {
setDocumentType(documentType);
return this;
}
/**
*
* 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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
* @see DocumentClassifierDocumentTypeFormat
*/
public DocumentClassifierInputDataConfig withDocumentType(DocumentClassifierDocumentTypeFormat documentType) {
this.documentType = documentType.toString();
return this;
}
/**
*
* The S3 location of the training documents. This parameter is required in a request to create a native document
* model.
*
*
* @param documents
* The S3 location of the training documents. This parameter is required in a request to create a native
* document model.
*/
public void setDocuments(DocumentClassifierDocuments documents) {
this.documents = documents;
}
/**
*
* The S3 location of the training documents. This parameter is required in a request to create a native document
* model.
*
*
* @return The S3 location of the training documents. This parameter is required in a request to create a native
* document model.
*/
public DocumentClassifierDocuments getDocuments() {
return this.documents;
}
/**
*
* The S3 location of the training documents. This parameter is required in a request to create a native document
* model.
*
*
* @param documents
* The S3 location of the training documents. This parameter is required in a request to create a native
* document model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withDocuments(DocumentClassifierDocuments documents) {
setDocuments(documents);
return this;
}
/**
* @param documentReaderConfig
*/
public void setDocumentReaderConfig(DocumentReaderConfig documentReaderConfig) {
this.documentReaderConfig = documentReaderConfig;
}
/**
* @return
*/
public DocumentReaderConfig getDocumentReaderConfig() {
return this.documentReaderConfig;
}
/**
* @param documentReaderConfig
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DocumentClassifierInputDataConfig withDocumentReaderConfig(DocumentReaderConfig documentReaderConfig) {
setDocumentReaderConfig(documentReaderConfig);
return this;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getDataFormat() != null)
sb.append("DataFormat: ").append(getDataFormat()).append(",");
if (getS3Uri() != null)
sb.append("S3Uri: ").append(getS3Uri()).append(",");
if (getTestS3Uri() != null)
sb.append("TestS3Uri: ").append(getTestS3Uri()).append(",");
if (getLabelDelimiter() != null)
sb.append("LabelDelimiter: ").append(getLabelDelimiter()).append(",");
if (getAugmentedManifests() != null)
sb.append("AugmentedManifests: ").append(getAugmentedManifests()).append(",");
if (getDocumentType() != null)
sb.append("DocumentType: ").append(getDocumentType()).append(",");
if (getDocuments() != null)
sb.append("Documents: ").append(getDocuments()).append(",");
if (getDocumentReaderConfig() != null)
sb.append("DocumentReaderConfig: ").append(getDocumentReaderConfig());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof DocumentClassifierInputDataConfig == false)
return false;
DocumentClassifierInputDataConfig other = (DocumentClassifierInputDataConfig) obj;
if (other.getDataFormat() == null ^ this.getDataFormat() == null)
return false;
if (other.getDataFormat() != null && other.getDataFormat().equals(this.getDataFormat()) == false)
return false;
if (other.getS3Uri() == null ^ this.getS3Uri() == null)
return false;
if (other.getS3Uri() != null && other.getS3Uri().equals(this.getS3Uri()) == false)
return false;
if (other.getTestS3Uri() == null ^ this.getTestS3Uri() == null)
return false;
if (other.getTestS3Uri() != null && other.getTestS3Uri().equals(this.getTestS3Uri()) == false)
return false;
if (other.getLabelDelimiter() == null ^ this.getLabelDelimiter() == null)
return false;
if (other.getLabelDelimiter() != null && other.getLabelDelimiter().equals(this.getLabelDelimiter()) == false)
return false;
if (other.getAugmentedManifests() == null ^ this.getAugmentedManifests() == null)
return false;
if (other.getAugmentedManifests() != null && other.getAugmentedManifests().equals(this.getAugmentedManifests()) == false)
return false;
if (other.getDocumentType() == null ^ this.getDocumentType() == null)
return false;
if (other.getDocumentType() != null && other.getDocumentType().equals(this.getDocumentType()) == false)
return false;
if (other.getDocuments() == null ^ this.getDocuments() == null)
return false;
if (other.getDocuments() != null && other.getDocuments().equals(this.getDocuments()) == false)
return false;
if (other.getDocumentReaderConfig() == null ^ this.getDocumentReaderConfig() == null)
return false;
if (other.getDocumentReaderConfig() != null && other.getDocumentReaderConfig().equals(this.getDocumentReaderConfig()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getDataFormat() == null) ? 0 : getDataFormat().hashCode());
hashCode = prime * hashCode + ((getS3Uri() == null) ? 0 : getS3Uri().hashCode());
hashCode = prime * hashCode + ((getTestS3Uri() == null) ? 0 : getTestS3Uri().hashCode());
hashCode = prime * hashCode + ((getLabelDelimiter() == null) ? 0 : getLabelDelimiter().hashCode());
hashCode = prime * hashCode + ((getAugmentedManifests() == null) ? 0 : getAugmentedManifests().hashCode());
hashCode = prime * hashCode + ((getDocumentType() == null) ? 0 : getDocumentType().hashCode());
hashCode = prime * hashCode + ((getDocuments() == null) ? 0 : getDocuments().hashCode());
hashCode = prime * hashCode + ((getDocumentReaderConfig() == null) ? 0 : getDocumentReaderConfig().hashCode());
return hashCode;
}
@Override
public DocumentClassifierInputDataConfig clone() {
try {
return (DocumentClassifierInputDataConfig) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.comprehend.model.transform.DocumentClassifierInputDataConfigMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}