Package software.amazon.awssdk.services.cleanroomsml.model

Interface GetMlInputChannelResponse.Builder

    • Method Detail

      • createTime

        GetMlInputChannelResponse.Builder createTime​(Instant 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

        GetMlInputChannelResponse.Builder updateTime​(Instant 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.

      • 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

        GetMlInputChannelResponse.Builder name​(String 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.

      • 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.

      • 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

        GetMlInputChannelResponse.Builder sizeInGb​(Double 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

        GetMlInputChannelResponse.Builder kmsKeyArn​(String 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

        GetMlInputChannelResponse.Builder tags​(Map<String,​String> 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.