Interface GetMlInputChannelResponse.Builder
- All Superinterfaces:
AwsResponse.Builder
,Buildable
,CleanRoomsMlResponse.Builder
,CopyableBuilder<GetMlInputChannelResponse.Builder,
,GetMlInputChannelResponse> SdkBuilder<GetMlInputChannelResponse.Builder,
,GetMlInputChannelResponse> SdkPojo
,SdkResponse.Builder
- Enclosing class:
GetMlInputChannelResponse
-
Method Summary
Modifier and TypeMethodDescriptioncollaborationIdentifier
(String collaborationIdentifier) The collaboration ID of the collaboration that contains the ML input channel.configuredModelAlgorithmAssociations
(String... configuredModelAlgorithmAssociations) The configured model algorithm associations that were used to create the ML input channel.configuredModelAlgorithmAssociations
(Collection<String> configuredModelAlgorithmAssociations) The configured model algorithm associations that were used to create the ML input channel.createTime
(Instant createTime) The time at which the ML input channel was created.description
(String description) The description of the ML input channel.inputChannel
(Consumer<InputChannel.Builder> inputChannel) The input channel that was used to create the ML input channel.inputChannel
(InputChannel inputChannel) The input channel that was used to create the ML input channel.The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.membershipIdentifier
(String membershipIdentifier) The membership ID of the membership that contains the ML input channel.mlInputChannelArn
(String mlInputChannelArn) The Amazon Resource Name (ARN) of the ML input channel.The name of the ML input channel.numberOfFiles
(Double numberOfFiles) The number of files in the ML input channel.numberOfRecords
(Long numberOfRecords) The number of records in the ML input channel.protectedQueryIdentifier
(String protectedQueryIdentifier) The ID of the protected query that was used to create the ML input channel.retentionInDays
(Integer retentionInDays) The number of days to keep the data in the ML input channel.The size, in GB, of the ML input channel.The status of the ML input channel.status
(MLInputChannelStatus status) The status of the ML input channel.statusDetails
(Consumer<StatusDetails.Builder> statusDetails) Sets the value of the StatusDetails property for this object.statusDetails
(StatusDetails statusDetails) Sets the value of the StatusDetails property for this object.The optional metadata that you applied to the resource to help you categorize and organize them.updateTime
(Instant updateTime) The most recent time at which the ML input channel was updated.Methods inherited from interface software.amazon.awssdk.services.cleanroomsml.model.CleanRoomsMlResponse.Builder
build, responseMetadata, responseMetadata
Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields
Methods inherited from interface software.amazon.awssdk.core.SdkResponse.Builder
sdkHttpResponse, sdkHttpResponse
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Method Details
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createTime
The time at which the ML input channel was created.
- Parameters:
createTime
- The time at which the ML input channel was created.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
updateTime
The most recent time at which the ML input channel was updated.
- Parameters:
updateTime
- The most recent time at which the ML input channel was updated.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
membershipIdentifier
The membership ID of the membership that contains the ML input channel.
- Parameters:
membershipIdentifier
- The membership ID of the membership that contains the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
collaborationIdentifier
The collaboration ID of the collaboration that contains the ML input channel.
- Parameters:
collaborationIdentifier
- The collaboration ID of the collaboration that contains the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
inputChannel
The input channel that was used to create the ML input channel.
- Parameters:
inputChannel
- The input channel that was used to create the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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inputChannel
The input channel that was used to create the ML input channel.
This is a convenience method that creates an instance of theInputChannel.Builder
avoiding the need to create one manually viaInputChannel.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toinputChannel(InputChannel)
.- Parameters:
inputChannel
- a consumer that will call methods onInputChannel.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
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protectedQueryIdentifier
The ID of the protected query that was used to create the ML input channel.
- Parameters:
protectedQueryIdentifier
- The ID of the protected query that was used to create the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
mlInputChannelArn
The Amazon Resource Name (ARN) of the ML input channel.
- Parameters:
mlInputChannelArn
- The Amazon Resource Name (ARN) of the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
name
The name of the ML input channel.
- Parameters:
name
- The name of the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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configuredModelAlgorithmAssociations
GetMlInputChannelResponse.Builder configuredModelAlgorithmAssociations(Collection<String> configuredModelAlgorithmAssociations) The configured model algorithm associations that were used to create the ML input channel.
- Parameters:
configuredModelAlgorithmAssociations
- The configured model algorithm associations that were used to create the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
configuredModelAlgorithmAssociations
GetMlInputChannelResponse.Builder configuredModelAlgorithmAssociations(String... configuredModelAlgorithmAssociations) The configured model algorithm associations that were used to create the ML input channel.
- Parameters:
configuredModelAlgorithmAssociations
- The configured model algorithm associations that were used to create the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
status
The status of the ML input channel.
- Parameters:
status
- The status of the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
status
The status of the ML input channel.
- Parameters:
status
- The status of the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
statusDetails
Sets the value of the StatusDetails property for this object.- Parameters:
statusDetails
- The new value for the StatusDetails property for this object.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
statusDetails
default GetMlInputChannelResponse.Builder statusDetails(Consumer<StatusDetails.Builder> statusDetails) Sets the value of the StatusDetails property for this object. This is a convenience method that creates an instance of theStatusDetails.Builder
avoiding the need to create one manually viaStatusDetails.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed tostatusDetails(StatusDetails)
.- Parameters:
statusDetails
- a consumer that will call methods onStatusDetails.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
retentionInDays
The number of days to keep the data in the ML input channel.
- Parameters:
retentionInDays
- The number of days to keep the data in the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
numberOfRecords
The number of records in the ML input channel.
- Parameters:
numberOfRecords
- The number of records in the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
numberOfFiles
The number of files in the ML input channel.
- Parameters:
numberOfFiles
- The number of files in the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
sizeInGb
The size, in GB, of the ML input channel.
- Parameters:
sizeInGb
- The size, in GB, of the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
description
The description of the ML input channel.
- Parameters:
description
- The description of the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
kmsKeyArn
The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.
- Parameters:
kmsKeyArn
- The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
tags
The optional metadata that you applied 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.
- Parameters:
tags
- The optional metadata that you applied 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.
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- Returns:
- Returns a reference to this object so that method calls can be chained together.
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