GetMLTransform
Gets an AWS 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 AWS Glue. You can retrieve their metadata by
calling GetMLTransform
.
Request Syntax
{
"TransformId": "string
"
}
Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- TransformId
-
The unique identifier of the transform, generated at the time that the transform was created.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 255.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*
Required: Yes
Response Syntax
{
"CreatedOn": number,
"Description": "string",
"EvaluationMetrics": {
"FindMatchesMetrics": {
"AreaUnderPRCurve": number,
"ColumnImportances": [
{
"ColumnName": "string",
"Importance": number
}
],
"ConfusionMatrix": {
"NumFalseNegatives": number,
"NumFalsePositives": number,
"NumTrueNegatives": number,
"NumTruePositives": number
},
"F1": number,
"Precision": number,
"Recall": number
},
"TransformType": "string"
},
"GlueVersion": "string",
"InputRecordTables": [
{
"AdditionalOptions": {
"string" : "string"
},
"CatalogId": "string",
"ConnectionName": "string",
"DatabaseName": "string",
"TableName": "string"
}
],
"LabelCount": number,
"LastModifiedOn": number,
"MaxCapacity": number,
"MaxRetries": number,
"Name": "string",
"NumberOfWorkers": number,
"Parameters": {
"FindMatchesParameters": {
"AccuracyCostTradeoff": number,
"EnforceProvidedLabels": boolean,
"PrecisionRecallTradeoff": number,
"PrimaryKeyColumnName": "string"
},
"TransformType": "string"
},
"Role": "string",
"Schema": [
{
"DataType": "string",
"Name": "string"
}
],
"Status": "string",
"Timeout": number,
"TransformEncryption": {
"MlUserDataEncryption": {
"KmsKeyId": "string",
"MlUserDataEncryptionMode": "string"
},
"TaskRunSecurityConfigurationName": "string"
},
"TransformId": "string",
"WorkerType": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- CreatedOn
-
The date and time when the transform was created.
Type: Timestamp
- Description
-
A description of the transform.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 2048.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\r\n\t]*
- EvaluationMetrics
-
The latest evaluation metrics.
Type: EvaluationMetrics object
- GlueVersion
-
This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see AWS Glue Versions in the developer guide.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 255.
Pattern:
^\w+\.\w+$
- InputRecordTables
-
A list of AWS Glue table definitions used by the transform.
Type: Array of GlueTable objects
Array Members: Minimum number of 0 items. Maximum number of 10 items.
- LabelCount
-
The number of labels available for this transform.
Type: Integer
- LastModifiedOn
-
The date and time when the transform was last modified.
Type: Timestamp
- MaxCapacity
-
The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page
. When the
WorkerType
field is set to a value other thanStandard
, theMaxCapacity
field is set automatically and becomes read-only.Type: Double
- MaxRetries
-
The maximum number of times to retry a task for this transform after a task run fails.
Type: Integer
- Name
-
The unique name given to the transform when it was created.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 255.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*
- NumberOfWorkers
-
The number of workers of a defined
workerType
that are allocated when this task runs.Type: Integer
- Parameters
-
The configuration parameters that are specific to the algorithm used.
Type: TransformParameters object
- Role
-
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
Type: String
- Schema
-
The
Map<Column, Type>
object that represents the schema that this transform accepts. Has an upper bound of 100 columns.Type: Array of SchemaColumn objects
Array Members: Maximum number of 100 items.
- Status
-
The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY", or "DELETING".
Type: String
Valid Values:
NOT_READY | READY | DELETING
- Timeout
-
The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters
TIMEOUT
status. The default is 2,880 minutes (48 hours).Type: Integer
Valid Range: Minimum value of 1.
- TransformEncryption
-
The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
Type: TransformEncryption object
- TransformId
-
The unique identifier of the transform, generated at the time that the transform was created.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 255.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*
- WorkerType
-
The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.
-
For the
Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. -
For the
G.1X
worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker. -
For the
G.2X
worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.
Type: String
Valid Values:
Standard | G.1X | G.2X | G.025X | G.4X | G.8X | Z.2X
-
Errors
For information about the errors that are common to all actions, see Common Errors.
- EntityNotFoundException
-
A specified entity does not exist
HTTP Status Code: 400
- InternalServiceException
-
An internal service error occurred.
HTTP Status Code: 500
- InvalidInputException
-
The input provided was not valid.
HTTP Status Code: 400
- OperationTimeoutException
-
The operation timed out.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: