GetMLTransforms - AWS Glue


Gets a sortable, filterable list of existing AWS Glue machine learning transforms. 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, and you can retrieve their metadata by calling GetMLTransforms.

Request Syntax

{ "Filter": { "CreatedAfter": number, "CreatedBefore": number, "GlueVersion": "string", "LastModifiedAfter": number, "LastModifiedBefore": number, "Name": "string", "Schema": [ { "DataType": "string", "Name": "string" } ], "Status": "string", "TransformType": "string" }, "MaxResults": number, "NextToken": "string", "Sort": { "Column": "string", "SortDirection": "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.


The filter transformation criteria.

Type: TransformFilterCriteria object

Required: No


The maximum number of results to return.

Type: Integer

Valid Range: Minimum value of 1. Maximum value of 1000.

Required: No


A paginated token to offset the results.

Type: String

Required: No


The sorting criteria.

Type: TransformSortCriteria object

Required: No

Response Syntax

{ "NextToken": "string", "Transforms": [ { "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.


A pagination token, if more results are available.

Type: String


A list of machine learning transforms.

Type: Array of MLTransform objects


For information about the errors that are common to all actions, see Common Errors.


A specified entity does not exist

HTTP Status Code: 400


An internal service error occurred.

HTTP Status Code: 500


The input provided was not valid.

HTTP Status Code: 400


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: