@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class StartTopicsDetectionJobRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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StartTopicsDetectionJobRequest() |
Modifier and Type | Method and Description |
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StartTopicsDetectionJobRequest |
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 IAM role that grants Amazon Comprehend read access to your input data.
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InputDataConfig |
getInputDataConfig()
Specifies the format and location of the input data for the job.
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String |
getJobName()
The identifier of the job.
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Integer |
getNumberOfTopics()
The number of topics to detect.
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OutputDataConfig |
getOutputDataConfig()
Specifies where to send the output files.
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List<Tag> |
getTags()
Tags to associate with the topics detection job.
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String |
getVolumeKmsKeyId()
ID for the Amazon Web Services 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 topic detection job.
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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 IAM role that grants Amazon Comprehend read access to your input data.
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void |
setInputDataConfig(InputDataConfig inputDataConfig)
Specifies the format and location of the input data for the job.
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void |
setJobName(String jobName)
The identifier of the job.
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void |
setNumberOfTopics(Integer numberOfTopics)
The number of topics to detect.
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void |
setOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files.
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void |
setTags(Collection<Tag> tags)
Tags to associate with the topics detection job.
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void |
setVolumeKmsKeyId(String volumeKmsKeyId)
ID for the Amazon Web Services 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 topic detection job.
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String |
toString()
Returns a string representation of this object.
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StartTopicsDetectionJobRequest |
withClientRequestToken(String clientRequestToken)
A unique identifier for the request.
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StartTopicsDetectionJobRequest |
withDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
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StartTopicsDetectionJobRequest |
withInputDataConfig(InputDataConfig inputDataConfig)
Specifies the format and location of the input data for the job.
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StartTopicsDetectionJobRequest |
withJobName(String jobName)
The identifier of the job.
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StartTopicsDetectionJobRequest |
withNumberOfTopics(Integer numberOfTopics)
The number of topics to detect.
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StartTopicsDetectionJobRequest |
withOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files.
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StartTopicsDetectionJobRequest |
withTags(Collection<Tag> tags)
Tags to associate with the topics detection job.
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StartTopicsDetectionJobRequest |
withTags(Tag... tags)
Tags to associate with the topics detection job.
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StartTopicsDetectionJobRequest |
withVolumeKmsKeyId(String volumeKmsKeyId)
ID for the Amazon Web Services 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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StartTopicsDetectionJobRequest |
withVpcConfig(VpcConfig vpcConfig)
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are
using for your topic detection job.
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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 setInputDataConfig(InputDataConfig inputDataConfig)
Specifies the format and location of the input data for the job.
inputDataConfig
- Specifies the format and location of the input data for the job.public InputDataConfig getInputDataConfig()
Specifies the format and location of the input data for the job.
public StartTopicsDetectionJobRequest withInputDataConfig(InputDataConfig inputDataConfig)
Specifies the format and location of the input data for the job.
inputDataConfig
- Specifies the format and location of the input data for the job.public void setOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files. The output is a compressed archive with two files,
topic-terms.csv
that lists the terms associated with each topic, and doc-topics.csv
that lists the documents associated with each topic
outputDataConfig
- Specifies where to send the output files. The output is a compressed archive with two files,
topic-terms.csv
that lists the terms associated with each topic, and
doc-topics.csv
that lists the documents associated with each topicpublic OutputDataConfig getOutputDataConfig()
Specifies where to send the output files. The output is a compressed archive with two files,
topic-terms.csv
that lists the terms associated with each topic, and doc-topics.csv
that lists the documents associated with each topic
topic-terms.csv
that lists the terms associated with each topic, and
doc-topics.csv
that lists the documents associated with each topicpublic StartTopicsDetectionJobRequest withOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files. The output is a compressed archive with two files,
topic-terms.csv
that lists the terms associated with each topic, and doc-topics.csv
that lists the documents associated with each topic
outputDataConfig
- Specifies where to send the output files. The output is a compressed archive with two files,
topic-terms.csv
that lists the terms associated with each topic, and
doc-topics.csv
that lists the documents associated with each topicpublic void setDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
dataAccessRoleArn
- The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input
data. For more information, see Role-based permissions.public String getDataAccessRoleArn()
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
public StartTopicsDetectionJobRequest withDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
dataAccessRoleArn
- The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input
data. For more information, see Role-based permissions.public void setJobName(String jobName)
The identifier of the job.
jobName
- The identifier of the job.public String getJobName()
The identifier of the job.
public StartTopicsDetectionJobRequest withJobName(String jobName)
The identifier of the job.
jobName
- The identifier of the job.public void setNumberOfTopics(Integer numberOfTopics)
The number of topics to detect.
numberOfTopics
- The number of topics to detect.public Integer getNumberOfTopics()
The number of topics to detect.
public StartTopicsDetectionJobRequest withNumberOfTopics(Integer numberOfTopics)
The number of topics to detect.
numberOfTopics
- The number of topics to detect.public void setClientRequestToken(String clientRequestToken)
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
clientRequestToken
- A unique identifier for the request. If you do not set the client request token, Amazon Comprehend
generates one.public String getClientRequestToken()
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
public StartTopicsDetectionJobRequest withClientRequestToken(String clientRequestToken)
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
clientRequestToken
- A unique identifier for the request. If you do not set the client request token, Amazon Comprehend
generates one.public void setVolumeKmsKeyId(String volumeKmsKeyId)
ID for the Amazon Web Services 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 Amazon Web Services 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 Amazon Web Services 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 StartTopicsDetectionJobRequest withVolumeKmsKeyId(String volumeKmsKeyId)
ID for the Amazon Web Services 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 Amazon Web Services 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 topic detection job. 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 topic detection job. 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 topic detection job. For more information, see Amazon VPC.
public StartTopicsDetectionJobRequest withVpcConfig(VpcConfig vpcConfig)
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. 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 topic detection job. For more information, see Amazon VPC.public List<Tag> getTags()
Tags to associate with the topics detection job. A tag is a key-value pair that adds 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 associate with the topics detection job. A tag is a key-value pair that adds 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 associate with the topics detection job. A tag is a key-value pair that adds 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 StartTopicsDetectionJobRequest withTags(Tag... tags)
Tags to associate with the topics detection job. A tag is a key-value pair that adds 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 associate with the topics detection job. A tag is a key-value pair that adds 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 StartTopicsDetectionJobRequest withTags(Collection<Tag> tags)
Tags to associate with the topics detection job. A tag is a key-value pair that adds 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 associate with the topics detection job. A tag is a key-value pair that adds 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 String toString()
toString
in class Object
Object.toString()
public StartTopicsDetectionJobRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()