Get Ml Transform

glue_get_ml_transform

R Documentation

Gets an Glue machine learning transform artifact and all its corresponding metadata

Description

Gets an Glue machine learning transform artifact and all its corresponding metadata. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue. You can retrieve their metadata by calling get_ml_transform.

Usage

glue_get_ml_transform(TransformId)

Arguments

TransformId

[required] The unique identifier of the transform, generated at the time that the transform was created.

Value

A list with the following syntax:

list(
  TransformId = "string",
  Name = "string",
  Description = "string",
  Status = "NOT_READY"|"READY"|"DELETING",
  CreatedOn = as.POSIXct(
    "2015-01-01"
  ),
  LastModifiedOn = as.POSIXct(
    "2015-01-01"
  ),
  InputRecordTables = list(
    list(
      DatabaseName = "string",
      TableName = "string",
      CatalogId = "string",
      ConnectionName = "string",
      AdditionalOptions = list(
        "string"
      )
    )
  ),
  Parameters = list(
    TransformType = "FIND_MATCHES",
    FindMatchesParameters = list(
      PrimaryKeyColumnName = "string",
      PrecisionRecallTradeoff = 123.0,
      AccuracyCostTradeoff = 123.0,
      EnforceProvidedLabels = TRUE|FALSE
    )
  ),
  EvaluationMetrics = list(
    TransformType = "FIND_MATCHES",
    FindMatchesMetrics = list(
      AreaUnderPRCurve = 123.0,
      Precision = 123.0,
      Recall = 123.0,
      F1 = 123.0,
      ConfusionMatrix = list(
        NumTruePositives = 123,
        NumFalsePositives = 123,
        NumTrueNegatives = 123,
        NumFalseNegatives = 123
      ),
      ColumnImportances = list(
        list(
          ColumnName = "string",
          Importance = 123.0
        )
      )
    )
  ),
  LabelCount = 123,
  Schema = list(
    list(
      Name = "string",
      DataType = "string"
    )
  ),
  Role = "string",
  GlueVersion = "string",
  MaxCapacity = 123.0,
  WorkerType = "Standard"|"G.1X"|"G.2X"|"G.025X"|"G.4X"|"G.8X"|"Z.2X",
  NumberOfWorkers = 123,
  Timeout = 123,
  MaxRetries = 123,
  TransformEncryption = list(
    MlUserDataEncryption = list(
      MlUserDataEncryptionMode = "DISABLED"|"SSE-KMS",
      KmsKeyId = "string"
    ),
    TaskRunSecurityConfigurationName = "string"
  )
)

Request syntax

svc$get_ml_transform(
  TransformId = "string"
)