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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;
/**
*
* Specifies the format and location of the input data.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class EntityRecognizerInputDataConfig implements Serializable, Cloneable, StructuredPojo {
/**
*
* The format of your training data:
*
*
* -
*
* COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the Documents
* parameter.
*
*
* -
*
* 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 labels.
* Each label annotates a named entity in the training document.
*
*
* 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 entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer.
* Any entity types that you don't specify are ignored.
*
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain
* the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped
* carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*
*/
private java.util.List entityTypes;
/**
*
* The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
*
* This parameter is required if you set DataFormat to COMPREHEND_CSV.
*
*/
private EntityRecognizerDocuments documents;
/**
*
* The S3 location of the CSV file that annotates your training documents.
*
*/
private EntityRecognizerAnnotations annotations;
/**
*
* The S3 location of the CSV file that has the entity list for your custom entity recognizer.
*
*/
private EntityRecognizerEntityList entityList;
/**
*
* 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 format of your training data:
*
*
* -
*
* COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the Documents
* parameter.
*
*
* -
*
* 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 labels.
* Each label annotates a named entity in the training document.
*
*
* 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 CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the
* Documents parameter.
*
*
* -
*
* 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 labels. Each label annotates a named entity in the training document.
*
*
* 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 EntityRecognizerDataFormat
*/
public void setDataFormat(String dataFormat) {
this.dataFormat = dataFormat;
}
/**
*
* The format of your training data:
*
*
* -
*
* COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the Documents
* parameter.
*
*
* -
*
* 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 labels.
* Each label annotates a named entity in the training document.
*
*
* 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 CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the
* file depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the
* Documents parameter.
*
*
* -
*
* 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 labels. Each label annotates a named entity in the training document.
*
*
* 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 EntityRecognizerDataFormat
*/
public String getDataFormat() {
return this.dataFormat;
}
/**
*
* The format of your training data:
*
*
* -
*
* COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the Documents
* parameter.
*
*
* -
*
* 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 labels.
* Each label annotates a named entity in the training document.
*
*
* 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 CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the
* Documents parameter.
*
*
* -
*
* 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 labels. Each label annotates a named entity in the training document.
*
*
* 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 EntityRecognizerDataFormat
*/
public EntityRecognizerInputDataConfig withDataFormat(String dataFormat) {
setDataFormat(dataFormat);
return this;
}
/**
*
* The format of your training data:
*
*
* -
*
* COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the Documents
* parameter.
*
*
* -
*
* 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 labels.
* Each label annotates a named entity in the training document.
*
*
* 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 CSV file that supplements your training documents. The CSV file contains
* information about the custom entities that your trained model will detect. The required format of the file
* depends on whether you are providing annotations or an entity list.
*
*
* If you use this value, you must provide your CSV file by using either the Annotations or
* EntityList parameters. You must provide your training documents by using the
* Documents parameter.
*
*
* -
*
* 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 labels. Each label annotates a named entity in the training document.
*
*
* 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 EntityRecognizerDataFormat
*/
public EntityRecognizerInputDataConfig withDataFormat(EntityRecognizerDataFormat dataFormat) {
this.dataFormat = dataFormat.toString();
return this;
}
/**
*
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer.
* Any entity types that you don't specify are ignored.
*
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain
* the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped
* carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*
*
* @return The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity
* recognizer. Any entity types that you don't specify are ignored.
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not
* contain the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage
* return), \\r (escaped carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*/
public java.util.List getEntityTypes() {
return entityTypes;
}
/**
*
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer.
* Any entity types that you don't specify are ignored.
*
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain
* the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped
* carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*
*
* @param entityTypes
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity
* recognizer. Any entity types that you don't specify are ignored.
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not
* contain the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return),
* \\r (escaped carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*/
public void setEntityTypes(java.util.Collection entityTypes) {
if (entityTypes == null) {
this.entityTypes = null;
return;
}
this.entityTypes = new java.util.ArrayList(entityTypes);
}
/**
*
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer.
* Any entity types that you don't specify are ignored.
*
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain
* the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped
* carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setEntityTypes(java.util.Collection)} or {@link #withEntityTypes(java.util.Collection)} if you want to
* override the existing values.
*
*
* @param entityTypes
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity
* recognizer. Any entity types that you don't specify are ignored.
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not
* contain the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return),
* \\r (escaped carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public EntityRecognizerInputDataConfig withEntityTypes(EntityTypesListItem... entityTypes) {
if (this.entityTypes == null) {
setEntityTypes(new java.util.ArrayList(entityTypes.length));
}
for (EntityTypesListItem ele : entityTypes) {
this.entityTypes.add(ele);
}
return this;
}
/**
*
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer.
* Any entity types that you don't specify are ignored.
*
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain
* the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped
* carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
*
*
* @param entityTypes
* The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity
* recognizer. Any entity types that you don't specify are ignored.
*
* A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not
* contain the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return),
* \\r (escaped carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public EntityRecognizerInputDataConfig withEntityTypes(java.util.Collection entityTypes) {
setEntityTypes(entityTypes);
return this;
}
/**
*
* The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
*
* This parameter is required if you set DataFormat to COMPREHEND_CSV.
*
*
* @param documents
* The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
* This parameter is required if you set DataFormat to COMPREHEND_CSV.
*/
public void setDocuments(EntityRecognizerDocuments documents) {
this.documents = documents;
}
/**
*
* The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
*
* This parameter is required if you set DataFormat to COMPREHEND_CSV.
*
*
* @return The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
* This parameter is required if you set DataFormat to COMPREHEND_CSV.
*/
public EntityRecognizerDocuments getDocuments() {
return this.documents;
}
/**
*
* The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
*
* This parameter is required if you set DataFormat to COMPREHEND_CSV.
*
*
* @param documents
* The S3 location of the folder that contains the training documents for your custom entity recognizer.
*
* 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 EntityRecognizerInputDataConfig withDocuments(EntityRecognizerDocuments documents) {
setDocuments(documents);
return this;
}
/**
*
* The S3 location of the CSV file that annotates your training documents.
*
*
* @param annotations
* The S3 location of the CSV file that annotates your training documents.
*/
public void setAnnotations(EntityRecognizerAnnotations annotations) {
this.annotations = annotations;
}
/**
*
* The S3 location of the CSV file that annotates your training documents.
*
*
* @return The S3 location of the CSV file that annotates your training documents.
*/
public EntityRecognizerAnnotations getAnnotations() {
return this.annotations;
}
/**
*
* The S3 location of the CSV file that annotates your training documents.
*
*
* @param annotations
* The S3 location of the CSV file that annotates your training documents.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public EntityRecognizerInputDataConfig withAnnotations(EntityRecognizerAnnotations annotations) {
setAnnotations(annotations);
return this;
}
/**
*
* The S3 location of the CSV file that has the entity list for your custom entity recognizer.
*
*
* @param entityList
* The S3 location of the CSV file that has the entity list for your custom entity recognizer.
*/
public void setEntityList(EntityRecognizerEntityList entityList) {
this.entityList = entityList;
}
/**
*
* The S3 location of the CSV file that has the entity list for your custom entity recognizer.
*
*
* @return The S3 location of the CSV file that has the entity list for your custom entity recognizer.
*/
public EntityRecognizerEntityList getEntityList() {
return this.entityList;
}
/**
*
* The S3 location of the CSV file that has the entity list for your custom entity recognizer.
*
*
* @param entityList
* The S3 location of the CSV file that has the entity list for your custom entity recognizer.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public EntityRecognizerInputDataConfig withEntityList(EntityRecognizerEntityList entityList) {
setEntityList(entityList);
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 EntityRecognizerInputDataConfig 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 EntityRecognizerInputDataConfig withAugmentedManifests(java.util.Collection augmentedManifests) {
setAugmentedManifests(augmentedManifests);
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 (getEntityTypes() != null)
sb.append("EntityTypes: ").append(getEntityTypes()).append(",");
if (getDocuments() != null)
sb.append("Documents: ").append(getDocuments()).append(",");
if (getAnnotations() != null)
sb.append("Annotations: ").append(getAnnotations()).append(",");
if (getEntityList() != null)
sb.append("EntityList: ").append(getEntityList()).append(",");
if (getAugmentedManifests() != null)
sb.append("AugmentedManifests: ").append(getAugmentedManifests());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof EntityRecognizerInputDataConfig == false)
return false;
EntityRecognizerInputDataConfig other = (EntityRecognizerInputDataConfig) obj;
if (other.getDataFormat() == null ^ this.getDataFormat() == null)
return false;
if (other.getDataFormat() != null && other.getDataFormat().equals(this.getDataFormat()) == false)
return false;
if (other.getEntityTypes() == null ^ this.getEntityTypes() == null)
return false;
if (other.getEntityTypes() != null && other.getEntityTypes().equals(this.getEntityTypes()) == 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.getAnnotations() == null ^ this.getAnnotations() == null)
return false;
if (other.getAnnotations() != null && other.getAnnotations().equals(this.getAnnotations()) == false)
return false;
if (other.getEntityList() == null ^ this.getEntityList() == null)
return false;
if (other.getEntityList() != null && other.getEntityList().equals(this.getEntityList()) == false)
return false;
if (other.getAugmentedManifests() == null ^ this.getAugmentedManifests() == null)
return false;
if (other.getAugmentedManifests() != null && other.getAugmentedManifests().equals(this.getAugmentedManifests()) == 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 + ((getEntityTypes() == null) ? 0 : getEntityTypes().hashCode());
hashCode = prime * hashCode + ((getDocuments() == null) ? 0 : getDocuments().hashCode());
hashCode = prime * hashCode + ((getAnnotations() == null) ? 0 : getAnnotations().hashCode());
hashCode = prime * hashCode + ((getEntityList() == null) ? 0 : getEntityList().hashCode());
hashCode = prime * hashCode + ((getAugmentedManifests() == null) ? 0 : getAugmentedManifests().hashCode());
return hashCode;
}
@Override
public EntityRecognizerInputDataConfig clone() {
try {
return (EntityRecognizerInputDataConfig) 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.EntityRecognizerInputDataConfigMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}