@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateEntityRecognizerRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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CreateEntityRecognizerRequest() |
Modifier and Type | Method and Description |
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CreateEntityRecognizerRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
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boolean |
equals(Object obj) |
String |
getClientRequestToken()
A unique identifier for the request.
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String |
getDataAccessRoleArn()
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read
access to your input data.
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EntityRecognizerInputDataConfig |
getInputDataConfig()
Specifies the format and location of the input data.
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String |
getLanguageCode()
The language of the input documents.
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String |
getRecognizerName()
The name given to the newly created recognizer.
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List<Tag> |
getTags()
Tags to be associated with the entity recognizer being created.
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String |
getVolumeKmsKeyId()
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume
attached to the ML compute instance(s) that process the analysis job.
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VpcConfig |
getVpcConfig()
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are
using for your custom entity recognizer.
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int |
hashCode() |
void |
setClientRequestToken(String clientRequestToken)
A unique identifier for the request.
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void |
setDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read
access to your input data.
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void |
setInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig)
Specifies the format and location of the input data.
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void |
setLanguageCode(String languageCode)
The language of the input documents.
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void |
setRecognizerName(String recognizerName)
The name given to the newly created recognizer.
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void |
setTags(Collection<Tag> tags)
Tags to be associated with the entity recognizer being created.
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void |
setVolumeKmsKeyId(String volumeKmsKeyId)
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume
attached to the ML compute instance(s) that process the analysis job.
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void |
setVpcConfig(VpcConfig vpcConfig)
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are
using for your custom entity recognizer.
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String |
toString()
Returns a string representation of this object.
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CreateEntityRecognizerRequest |
withClientRequestToken(String clientRequestToken)
A unique identifier for the request.
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CreateEntityRecognizerRequest |
withDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read
access to your input data.
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CreateEntityRecognizerRequest |
withInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig)
Specifies the format and location of the input data.
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CreateEntityRecognizerRequest |
withLanguageCode(LanguageCode languageCode)
The language of the input documents.
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CreateEntityRecognizerRequest |
withLanguageCode(String languageCode)
The language of the input documents.
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CreateEntityRecognizerRequest |
withRecognizerName(String recognizerName)
The name given to the newly created recognizer.
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CreateEntityRecognizerRequest |
withTags(Collection<Tag> tags)
Tags to be associated with the entity recognizer being created.
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CreateEntityRecognizerRequest |
withTags(Tag... tags)
Tags to be associated with the entity recognizer being created.
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CreateEntityRecognizerRequest |
withVolumeKmsKeyId(String volumeKmsKeyId)
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume
attached to the ML compute instance(s) that process the analysis job.
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CreateEntityRecognizerRequest |
withVpcConfig(VpcConfig vpcConfig)
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are
using for your custom entity recognizer.
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addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public void setRecognizerName(String recognizerName)
The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.
recognizerName
- The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters.
Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the
account/region.public String getRecognizerName()
The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.
public CreateEntityRecognizerRequest withRecognizerName(String recognizerName)
The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.
recognizerName
- The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters.
Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the
account/region.public void setDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.
dataAccessRoleArn
- The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend
read access to your input data.public String getDataAccessRoleArn()
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.
public CreateEntityRecognizerRequest withDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.
dataAccessRoleArn
- The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend
read access to your input data.public List<Tag> getTags()
Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
public void setTags(Collection<Tag> tags)
Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
tags
- Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a
metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be
added to a resource to indicate its use by the sales department.public CreateEntityRecognizerRequest withTags(Tag... tags)
Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
NOTE: This method appends the values to the existing list (if any). Use
setTags(java.util.Collection)
or withTags(java.util.Collection)
if you want to override the
existing values.
tags
- Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a
metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be
added to a resource to indicate its use by the sales department.public CreateEntityRecognizerRequest withTags(Collection<Tag> tags)
Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
tags
- Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a
metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be
added to a resource to indicate its use by the sales department.public void setInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig)
Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.
inputDataConfig
- Specifies the format and location of the input data. The S3 bucket containing the input data must be
located in the same region as the entity recognizer being created.public EntityRecognizerInputDataConfig getInputDataConfig()
Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.
public CreateEntityRecognizerRequest withInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig)
Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.
inputDataConfig
- Specifies the format and location of the input data. The S3 bucket containing the input data must be
located in the same region as the entity recognizer being created.public void setClientRequestToken(String clientRequestToken)
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
clientRequestToken
- A unique identifier for the request. If you don't set the client request token, Amazon Comprehend
generates one.public String getClientRequestToken()
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
public CreateEntityRecognizerRequest withClientRequestToken(String clientRequestToken)
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
clientRequestToken
- A unique identifier for the request. If you don't set the client request token, Amazon Comprehend
generates one.public void setLanguageCode(String languageCode)
The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.
languageCode
- The language of the input documents. All documents must be in the same language. Only English ("en") is
currently supported.LanguageCode
public String getLanguageCode()
The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.
LanguageCode
public CreateEntityRecognizerRequest withLanguageCode(String languageCode)
The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.
languageCode
- The language of the input documents. All documents must be in the same language. Only English ("en") is
currently supported.LanguageCode
public CreateEntityRecognizerRequest withLanguageCode(LanguageCode languageCode)
The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.
languageCode
- The language of the input documents. All documents must be in the same language. Only English ("en") is
currently supported.LanguageCode
public void setVolumeKmsKeyId(String volumeKmsKeyId)
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
volumeKmsKeyId
- ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage
volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public String getVolumeKmsKeyId()
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public CreateEntityRecognizerRequest withVolumeKmsKeyId(String volumeKmsKeyId)
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
volumeKmsKeyId
- ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage
volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public void setVpcConfig(VpcConfig vpcConfig)
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.
vpcConfig
- Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you
are using for your custom entity recognizer. For more information, see Amazon VPC.public VpcConfig getVpcConfig()
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.
public CreateEntityRecognizerRequest withVpcConfig(VpcConfig vpcConfig)
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.
vpcConfig
- Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you
are using for your custom entity recognizer. For more information, see Amazon VPC.public String toString()
toString
in class Object
Object.toString()
public CreateEntityRecognizerRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()
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