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Viewing docs for AWS Cloud Control v1.76.0
published on Monday, Aug 24, 2026 by Pulumi
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pulumi/pulumi-aws-native

aws-native.glue.getMlTransform

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Viewing docs for AWS Cloud Control v1.76.0
published on Monday, Aug 24, 2026 by Pulumi
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pulumi/pulumi-aws-native

    Resource Type definition for AWS::Glue::MLTransform

    Using getMlTransform

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getMlTransform(args: GetMlTransformArgs, opts?: InvokeOptions): Promise<GetMlTransformResult>
function getMlTransformOutput(args: GetMlTransformOutputArgs, opts?: InvokeOutputOptions): Output<GetMlTransformResult>
    def get_ml_transform(transform_id: Optional[str] = None,
                     opts: Optional[InvokeOptions] = None) -> GetMlTransformResult
def get_ml_transform_output(transform_id: pulumi.Input[Optional[str]] = None,
                     opts: Optional[InvokeOutputOptions] = None) -> Output[GetMlTransformResult]
    func LookupMlTransform(ctx *Context, args *LookupMlTransformArgs, opts ...InvokeOption) (*LookupMlTransformResult, error)
func LookupMlTransformOutput(ctx *Context, args *LookupMlTransformOutputArgs, opts ...InvokeOption) LookupMlTransformResultOutput

    > Note: This function is named LookupMlTransform in the Go SDK.

    public static class GetMlTransform 
{
    public static Task<GetMlTransformResult> InvokeAsync(GetMlTransformArgs args, InvokeOptions? opts = null)
    public static Output<GetMlTransformResult> Invoke(GetMlTransformInvokeArgs args, InvokeOptions? opts = null)
    public static Output<GetMlTransformResult> Invoke(GetMlTransformInvokeArgs args, InvokeOutputOptions opts)
}
    public static CompletableFuture<GetMlTransformResult> getMlTransform(GetMlTransformArgs args, InvokeOptions options)
public static Output<GetMlTransformResult> getMlTransform(GetMlTransformArgs args, InvokeOptions options)
public static Output<GetMlTransformResult> getMlTransform(GetMlTransformArgs args, InvokeOutputOptions options)

    fn::invoke:
  function: aws-native:glue:getMlTransform
  arguments:
    # arguments dictionary
    data "aws-native_glue_get_ml_transform" "name" {
    # arguments
}

    The following arguments are supported:

    TransformId string
    The unique identifier for the transform.
    TransformId string
    The unique identifier for the transform.
    transform_id string
    The unique identifier for the transform.
    transformId String
    The unique identifier for the transform.
    transformId string
    The unique identifier for the transform.
    transform_id str
    The unique identifier for the transform.
    transformId String
    The unique identifier for the transform.

    getMlTransform Result

    The following output properties are available:

    Description string
    A user-defined, long-form description text for the machine learning transform.
    GlueVersion string
    The version of AWS Glue this machine learning transform is compatible with.
    MaxCapacity double
    The number of AWS Glue DPUs allocated to task runs for this transform.
    MaxRetries int
    The maximum number of times to retry after an MLTaskRun fails.
    Name string
    A user-defined name for the machine learning transform.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a task runs.
    Role string
    The name or ARN of the IAM role with the required permissions.
    Tags Dictionary<string, string>
    The tags to use with this machine learning transform.
    Timeout int
    The timeout in minutes of the machine learning transform.
    TransformId string
    The unique identifier for the transform.
    TransformParameters Pulumi.AwsNative.Glue.Outputs.MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    WorkerType string
    The type of predefined worker that is allocated when a task runs.
    Description string
    A user-defined, long-form description text for the machine learning transform.
    GlueVersion string
    The version of AWS Glue this machine learning transform is compatible with.
    MaxCapacity float64
    The number of AWS Glue DPUs allocated to task runs for this transform.
    MaxRetries int
    The maximum number of times to retry after an MLTaskRun fails.
    Name string
    A user-defined name for the machine learning transform.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a task runs.
    Role string
    The name or ARN of the IAM role with the required permissions.
    Tags map[string]string
    The tags to use with this machine learning transform.
    Timeout int
    The timeout in minutes of the machine learning transform.
    TransformId string
    The unique identifier for the transform.
    TransformParameters MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    WorkerType string
    The type of predefined worker that is allocated when a task runs.
    description string
    A user-defined, long-form description text for the machine learning transform.
    glue_version string
    The version of AWS Glue this machine learning transform is compatible with.
    max_capacity number
    The number of AWS Glue DPUs allocated to task runs for this transform.
    max_retries number
    The maximum number of times to retry after an MLTaskRun fails.
    name string
    A user-defined name for the machine learning transform.
    number_of_workers number
    The number of workers of a defined workerType that are allocated when a task runs.
    role string
    The name or ARN of the IAM role with the required permissions.
    tags map(string)
    The tags to use with this machine learning transform.
    timeout number
    The timeout in minutes of the machine learning transform.
    transform_id string
    The unique identifier for the transform.
    transform_parameters object
    The algorithm-specific parameters that are associated with the machine learning transform.
    worker_type string
    The type of predefined worker that is allocated when a task runs.
    description String
    A user-defined, long-form description text for the machine learning transform.
    glueVersion String
    The version of AWS Glue this machine learning transform is compatible with.
    maxCapacity Double
    The number of AWS Glue DPUs allocated to task runs for this transform.
    maxRetries Integer
    The maximum number of times to retry after an MLTaskRun fails.
    name String
    A user-defined name for the machine learning transform.
    numberOfWorkers Integer
    The number of workers of a defined workerType that are allocated when a task runs.
    role String
    The name or ARN of the IAM role with the required permissions.
    tags Map<String,String>
    The tags to use with this machine learning transform.
    timeout Integer
    The timeout in minutes of the machine learning transform.
    transformId String
    The unique identifier for the transform.
    transformParameters MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    workerType String
    The type of predefined worker that is allocated when a task runs.
    description string
    A user-defined, long-form description text for the machine learning transform.
    glueVersion string
    The version of AWS Glue this machine learning transform is compatible with.
    maxCapacity number
    The number of AWS Glue DPUs allocated to task runs for this transform.
    maxRetries number
    The maximum number of times to retry after an MLTaskRun fails.
    name string
    A user-defined name for the machine learning transform.
    numberOfWorkers number
    The number of workers of a defined workerType that are allocated when a task runs.
    role string
    The name or ARN of the IAM role with the required permissions.
    tags {[key: string]: string}
    The tags to use with this machine learning transform.
    timeout number
    The timeout in minutes of the machine learning transform.
    transformId string
    The unique identifier for the transform.
    transformParameters MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    workerType string
    The type of predefined worker that is allocated when a task runs.
    description str
    A user-defined, long-form description text for the machine learning transform.
    glue_version str
    The version of AWS Glue this machine learning transform is compatible with.
    max_capacity float
    The number of AWS Glue DPUs allocated to task runs for this transform.
    max_retries int
    The maximum number of times to retry after an MLTaskRun fails.
    name str
    A user-defined name for the machine learning transform.
    number_of_workers int
    The number of workers of a defined workerType that are allocated when a task runs.
    role str
    The name or ARN of the IAM role with the required permissions.
    tags Mapping[str, str]
    The tags to use with this machine learning transform.
    timeout int
    The timeout in minutes of the machine learning transform.
    transform_id str
    The unique identifier for the transform.
    transform_parameters MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    worker_type str
    The type of predefined worker that is allocated when a task runs.
    description String
    A user-defined, long-form description text for the machine learning transform.
    glueVersion String
    The version of AWS Glue this machine learning transform is compatible with.
    maxCapacity Number
    The number of AWS Glue DPUs allocated to task runs for this transform.
    maxRetries Number
    The maximum number of times to retry after an MLTaskRun fails.
    name String
    A user-defined name for the machine learning transform.
    numberOfWorkers Number
    The number of workers of a defined workerType that are allocated when a task runs.
    role String
    The name or ARN of the IAM role with the required permissions.
    tags Map<String>
    The tags to use with this machine learning transform.
    timeout Number
    The timeout in minutes of the machine learning transform.
    transformId String
    The unique identifier for the transform.
    transformParameters Property Map
    The algorithm-specific parameters that are associated with the machine learning transform.
    workerType String
    The type of predefined worker that is allocated when a task runs.

    Supporting Types

    MlTransformFindMatchesParameters

    PrimaryKeyColumnName string
    The name of a column that uniquely identifies rows in the source table.
    AccuracyCostTradeoff double
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    EnforceProvidedLabels bool
    If true, forces the output to match the provided labels.
    PrecisionRecallTradeoff double
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    PrimaryKeyColumnName string
    The name of a column that uniquely identifies rows in the source table.
    AccuracyCostTradeoff float64
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    EnforceProvidedLabels bool
    If true, forces the output to match the provided labels.
    PrecisionRecallTradeoff float64
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primary_key_column_name string
    The name of a column that uniquely identifies rows in the source table.
    accuracy_cost_tradeoff number
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforce_provided_labels bool
    If true, forces the output to match the provided labels.
    precision_recall_tradeoff number
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primaryKeyColumnName String
    The name of a column that uniquely identifies rows in the source table.
    accuracyCostTradeoff Double
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforceProvidedLabels Boolean
    If true, forces the output to match the provided labels.
    precisionRecallTradeoff Double
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primaryKeyColumnName string
    The name of a column that uniquely identifies rows in the source table.
    accuracyCostTradeoff number
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforceProvidedLabels boolean
    If true, forces the output to match the provided labels.
    precisionRecallTradeoff number
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primary_key_column_name str
    The name of a column that uniquely identifies rows in the source table.
    accuracy_cost_tradeoff float
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforce_provided_labels bool
    If true, forces the output to match the provided labels.
    precision_recall_tradeoff float
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primaryKeyColumnName String
    The name of a column that uniquely identifies rows in the source table.
    accuracyCostTradeoff Number
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforceProvidedLabels Boolean
    If true, forces the output to match the provided labels.
    precisionRecallTradeoff Number
    The value for precision and recall tradeoff. A value of 0.5 means no preference.

    MlTransformTransformParameters

    TransformType string
    The type of machine learning transform.
    FindMatchesParameters Pulumi.AwsNative.Glue.Inputs.MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    TransformType string
    The type of machine learning transform.
    FindMatchesParameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transform_type string
    The type of machine learning transform.
    find_matches_parameters object
    The parameters for the find matches algorithm.
    transformType String
    The type of machine learning transform.
    findMatchesParameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transformType string
    The type of machine learning transform.
    findMatchesParameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transform_type str
    The type of machine learning transform.
    find_matches_parameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transformType String
    The type of machine learning transform.
    findMatchesParameters Property Map
    The parameters for the find matches algorithm.

    Package Details

    Repository
    AWS Native pulumi/pulumi-aws-native
    License
    Apache-2.0
    aws-native logo aws-native logo

    We recommend new projects start with resources from the AWS provider.

    Viewing docs for AWS Cloud Control v1.76.0
    published on Monday, Aug 24, 2026 by Pulumi
    Schema (JSON)
    pulumi/pulumi-aws-native

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