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DescribeMLModels - MachineLearning
Request SyntaxRequest ParametersResponse SyntaxResponse ElementsErrorsExamplesSee Also

DescribeMLModels

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Returns a list of MLModel that match the search criteria in the request.

Request Syntax

{
   "EQ": "string",
   "FilterVariable": "string",
   "GE": "string",
   "GT": "string",
   "LE": "string",
   "Limit": number,
   "LT": "string",
   "NE": "string",
   "NextToken": "string",
   "Prefix": "string",
   "SortOrder": "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.

EQ

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

FilterVariable

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Type: String

Valid Values: CreatedAt | LastUpdatedAt | Status | Name | IAMUser | TrainingDataSourceId | RealtimeEndpointStatus | MLModelType | Algorithm | TrainingDataURI

Required: No

GE

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

GT

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

LE

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

Limit

The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.

Type: Integer

Valid Range: Minimum value of 1. Maximum value of 100.

Required: No

LT

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

NE

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

NextToken

The ID of the page in the paginated results.

Type: String

Required: No

Prefix

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

SortOrder

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Type: String

Valid Values: asc | dsc

Required: No

Response Syntax

{
   "NextToken": "string",
   "Results": [ 
      { 
         "Algorithm": "string",
         "ComputeTime": number,
         "CreatedAt": number,
         "CreatedByIamUser": "string",
         "EndpointInfo": { 
            "CreatedAt": number,
            "EndpointStatus": "string",
            "EndpointUrl": "string",
            "PeakRequestsPerSecond": number
         },
         "FinishedAt": number,
         "InputDataLocationS3": "string",
         "LastUpdatedAt": number,
         "Message": "string",
         "MLModelId": "string",
         "MLModelType": "string",
         "Name": "string",
         "ScoreThreshold": number,
         "ScoreThresholdLastUpdatedAt": number,
         "SizeInBytes": number,
         "StartedAt": number,
         "Status": "string",
         "TrainingDataSourceId": "string",
         "TrainingParameters": { 
            "string" : "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.

NextToken

The ID of the next page in the paginated results that indicates at least one more page follows.

Type: String

Results

A list of MLModel that meet the search criteria.

Type: Array of MLModel objects

Errors

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

InternalServerException

An error on the server occurred when trying to process a request.

HTTP Status Code: 500

InvalidInputException

An error on the client occurred. Typically, the cause is an invalid input value.

HTTP Status Code: 400

Examples

The following is a sample request and response of the DescribeMLModels operation:

This example illustrates one usage of DescribeMLModels.

Sample Request

POST / HTTP/1.1
Host: machinelearning.<region>.<domain>
x-amz-Date: <Date>
Authorization: AWS4-HMAC-SHA256 Credential=<Credential>, SignedHeaders=contenttype;date;host;user-agent;x-amz-date;x-amz-target;x-amzn-requestid,Signature=<Signature>
User-Agent: <UserAgentString>
Content-Type: application/x-amz-json-1.1
Content-Length: <PayloadSizeBytes>
Connection: Keep-Alive
X-Amz-Target: AmazonML_20141212.DescribeMLModels
{
  "FilterVariable": "Name",
  "Prefix": "ml-",
  "SortOrder": "asc",
  "Limit": 1
}

Sample Response

HTTP/1.1 200 OK
x-amzn-RequestId: <RequestId>
Content-Type: application/x-amz-json-1.1
Content-Length: <PayloadSizeBytes>
Date: <Date>
{
  "NextToken": "\"PredictorId\":\"Spr-ml-model-testing\"}", 
  "Results": [
    {
      "CreatedAt": 1422475435.595, 
      "CreatedByIamUser": "arn:aws:iam::<awsAccountId>:user/username", 
      "InputDataLocationS3": "s3://bucket/locationToInput/example-data.testing.csv",
      "LastUpdatedAt": 1422475709.691, 
      "MLModelId": "ml-model-testing", 
      "MLModelType": "MULTICLASS", 
      "EndpointInfo": {
        "CreatedAt": 1424378682.266, 
        "EndpointStatus": "READY", 
        "EndpointUrl": "<realtime endpoint from Amazon Machine Learning for ml-model-testing>",
        "PeakRequestsPerSecond": 200}
      "Name": "ml-model-name", 
      "Algorithm": "sgd",
      "SizeInBytes": 352720, 
      "Status": "COMPLETED", 
      "ComputeTime":"185200",
      "FinishedAt":"1422475709.691",
      "StartedAt":"1422475438.324",
      "TrainingDataSourceId": "exampleDataSourceId", 
      "TrainingParameters": 
       {
         "algorithm": "sgd", 
         "sgd.l1RegularizationAmount": "0.0", 
         "sgd.l2RegularizationAmount": "1E-6", 
         "sgd.maxMLModelSizeInBytes": "33554432", 
         "sgd.maxPasses": "10"
      }
    }
  ]
}

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

Next topic:

DescribeTags

Previous topic:

DescribeEvaluations

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