@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateAudienceModelRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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CreateAudienceModelRequest() |
Modifier and Type | Method and Description |
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CreateAudienceModelRequest |
addTagsEntry(String key,
String value)
Add a single Tags entry
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CreateAudienceModelRequest |
clearTagsEntries()
Removes all the entries added into Tags.
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CreateAudienceModelRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
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boolean |
equals(Object obj) |
String |
getDescription()
The description of the audience model.
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String |
getKmsKeyArn()
The Amazon Resource Name (ARN) of the KMS key.
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String |
getName()
The name of the audience model resource.
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Map<String,String> |
getTags()
The optional metadata that you apply to the resource to help you categorize and organize them.
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Date |
getTrainingDataEndTime()
The end date and time of the training window.
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String |
getTrainingDatasetArn()
The Amazon Resource Name (ARN) of the training dataset for this audience model.
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Date |
getTrainingDataStartTime()
The start date and time of the training window.
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int |
hashCode() |
void |
setDescription(String description)
The description of the audience model.
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void |
setKmsKeyArn(String kmsKeyArn)
The Amazon Resource Name (ARN) of the KMS key.
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void |
setName(String name)
The name of the audience model resource.
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void |
setTags(Map<String,String> tags)
The optional metadata that you apply to the resource to help you categorize and organize them.
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void |
setTrainingDataEndTime(Date trainingDataEndTime)
The end date and time of the training window.
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void |
setTrainingDatasetArn(String trainingDatasetArn)
The Amazon Resource Name (ARN) of the training dataset for this audience model.
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void |
setTrainingDataStartTime(Date trainingDataStartTime)
The start date and time of the training window.
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String |
toString()
Returns a string representation of this object.
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CreateAudienceModelRequest |
withDescription(String description)
The description of the audience model.
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CreateAudienceModelRequest |
withKmsKeyArn(String kmsKeyArn)
The Amazon Resource Name (ARN) of the KMS key.
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CreateAudienceModelRequest |
withName(String name)
The name of the audience model resource.
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CreateAudienceModelRequest |
withTags(Map<String,String> tags)
The optional metadata that you apply to the resource to help you categorize and organize them.
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CreateAudienceModelRequest |
withTrainingDataEndTime(Date trainingDataEndTime)
The end date and time of the training window.
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CreateAudienceModelRequest |
withTrainingDatasetArn(String trainingDatasetArn)
The Amazon Resource Name (ARN) of the training dataset for this audience model.
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CreateAudienceModelRequest |
withTrainingDataStartTime(Date trainingDataStartTime)
The start date and time of the training window.
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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 setTrainingDataStartTime(Date trainingDataStartTime)
The start date and time of the training window.
trainingDataStartTime
- The start date and time of the training window.public Date getTrainingDataStartTime()
The start date and time of the training window.
public CreateAudienceModelRequest withTrainingDataStartTime(Date trainingDataStartTime)
The start date and time of the training window.
trainingDataStartTime
- The start date and time of the training window.public void setTrainingDataEndTime(Date trainingDataEndTime)
The end date and time of the training window.
trainingDataEndTime
- The end date and time of the training window.public Date getTrainingDataEndTime()
The end date and time of the training window.
public CreateAudienceModelRequest withTrainingDataEndTime(Date trainingDataEndTime)
The end date and time of the training window.
trainingDataEndTime
- The end date and time of the training window.public void setName(String name)
The name of the audience model resource.
name
- The name of the audience model resource.public String getName()
The name of the audience model resource.
public CreateAudienceModelRequest withName(String name)
The name of the audience model resource.
name
- The name of the audience model resource.public void setTrainingDatasetArn(String trainingDatasetArn)
The Amazon Resource Name (ARN) of the training dataset for this audience model.
trainingDatasetArn
- The Amazon Resource Name (ARN) of the training dataset for this audience model.public String getTrainingDatasetArn()
The Amazon Resource Name (ARN) of the training dataset for this audience model.
public CreateAudienceModelRequest withTrainingDatasetArn(String trainingDatasetArn)
The Amazon Resource Name (ARN) of the training dataset for this audience model.
trainingDatasetArn
- The Amazon Resource Name (ARN) of the training dataset for this audience model.public void setKmsKeyArn(String kmsKeyArn)
The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the trained ML model and the associated data.
kmsKeyArn
- The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data
in the trained ML model and the associated data.public String getKmsKeyArn()
The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the trained ML model and the associated data.
public CreateAudienceModelRequest withKmsKeyArn(String kmsKeyArn)
The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the trained ML model and the associated data.
kmsKeyArn
- The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data
in the trained ML model and the associated data.public Map<String,String> getTags()
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
public void setTags(Map<String,String> tags)
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
tags
- The optional metadata that you apply to the resource to help you categorize and organize them. Each tag
consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
public CreateAudienceModelRequest withTags(Map<String,String> tags)
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
tags
- The optional metadata that you apply to the resource to help you categorize and organize them. Each tag
consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
public CreateAudienceModelRequest addTagsEntry(String key, String value)
public CreateAudienceModelRequest clearTagsEntries()
public void setDescription(String description)
The description of the audience model.
description
- The description of the audience model.public String getDescription()
The description of the audience model.
public CreateAudienceModelRequest withDescription(String description)
The description of the audience model.
description
- The description of the audience model.public String toString()
toString
in class Object
Object.toString()
public CreateAudienceModelRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()