Interface GetMlInputChannelResponse.Builder

  • Method Details

    • 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

      GetMlInputChannelResponse.Builder membershipIdentifier(String 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

      GetMlInputChannelResponse.Builder collaborationIdentifier(String 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

      GetMlInputChannelResponse.Builder inputChannel(InputChannel 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.
    • inputChannel

      default GetMlInputChannelResponse.Builder inputChannel(Consumer<InputChannel.Builder> inputChannel)

      The input channel that was used to create the ML input channel.

      This is a convenience method that creates an instance of the InputChannel.Builder avoiding the need to create one manually via InputChannel.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to inputChannel(InputChannel).

      Parameters:
      inputChannel - a consumer that will call methods on InputChannel.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:
    • protectedQueryIdentifier

      GetMlInputChannelResponse.Builder protectedQueryIdentifier(String 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

      GetMlInputChannelResponse.Builder mlInputChannelArn(String 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.
    • 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

      GetMlInputChannelResponse.Builder statusDetails(StatusDetails 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 the StatusDetails.Builder avoiding the need to create one manually via StatusDetails.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to statusDetails(StatusDetails).

      Parameters:
      statusDetails - a consumer that will call methods on StatusDetails.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:
    • retentionInDays

      GetMlInputChannelResponse.Builder retentionInDays(Integer 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

      GetMlInputChannelResponse.Builder numberOfRecords(Long 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

      GetMlInputChannelResponse.Builder numberOfFiles(Double 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

      GetMlInputChannelResponse.Builder description(String 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.

      Returns:
      Returns a reference to this object so that method calls can be chained together.