Menu
Amazon Machine Learning
API Reference (API Version 2014-12-12)

GetEvaluation

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

Request Syntax

Copy
{ "EvaluationId": "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.

EvaluationId

The ID of the Evaluation to retrieve. The evaluation of each MLModel is recorded and cataloged. The ID provides the means to access the information.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

Response Syntax

Copy
{ "ComputeTime": number, "CreatedAt": number, "CreatedByIamUser": "string", "EvaluationDataSourceId": "string", "EvaluationId": "string", "FinishedAt": number, "InputDataLocationS3": "string", "LastUpdatedAt": number, "LogUri": "string", "Message": "string", "MLModelId": "string", "Name": "string", "PerformanceMetrics": { "Properties": { "string" : "string" } }, "StartedAt": number, "Status": "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.

ComputeTime

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources. ComputeTime is only available if the Evaluation is in the COMPLETED state.

Type: Long

CreatedAt

The time that the Evaluation was created. The time is expressed in epoch time.

Type: Timestamp

CreatedByIamUser

The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

Type: String

Pattern: arn:aws:iam::[0-9]+:((user/.+)|(root))

EvaluationDataSourceId

The DataSource used for this evaluation.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

EvaluationId

The evaluation ID which is same as the EvaluationId in the request.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

FinishedAt

The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED. FinishedAt is only available when the Evaluation is in the COMPLETED or FAILED state.

Type: Timestamp

InputDataLocationS3

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

Type: String

Length Constraints: Maximum length of 2048.

Pattern: s3://([^/]+)(/.*)?

LastUpdatedAt

The time of the most recent edit to the Evaluation. The time is expressed in epoch time.

Type: Timestamp

LogUri

A link to the file that contains logs of the CreateEvaluation operation.

Type: String

Message

A description of the most recent details about evaluating the MLModel.

Type: String

Length Constraints: Maximum length of 10240.

MLModelId

The ID of the MLModel that was the focus of the evaluation.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Name

A user-supplied name or description of the Evaluation.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

PerformanceMetrics

Measurements of how well the MLModel performed using observations referenced by the DataSource. One of the following metric is returned based on the type of the MLModel:

  • BinaryAUC: A binary MLModel uses the Area Under the Curve (AUC) technique to measure performance.

  • RegressionRMSE: A regression MLModel uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.

  • MulticlassAvgFScore: A multiclass MLModel uses the F1 score technique to measure performance.

For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.

Type: PerformanceMetrics object

StartedAt

The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS. StartedAt isn't available if the Evaluation is in the PENDING state.

Type: Timestamp

Status

The status of the evaluation. This element can have one of the following values:

  • PENDING - Amazon Machine Language (Amazon ML) submitted a request to evaluate an MLModel.

  • INPROGRESS - The evaluation is underway.

  • FAILED - The request to evaluate an MLModel did not run to completion. It is not usable.

  • COMPLETED - The evaluation process completed successfully.

  • DELETED - The Evaluation is marked as deleted. It is not usable.

Type: String

Valid Values: PENDING | INPROGRESS | FAILED | COMPLETED | DELETED

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

ResourceNotFoundException

A specified resource cannot be located.

HTTP Status Code: 400

Example

The following is a sample request and response of the GetEvaluation operation.

Sample Request

Copy
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.GetEvaluation {"EvaluationId": "ev-2014-09-12-15-14-04-924"}

Sample Response

Copy
HTTP/1.1 200 OK x-amzn-RequestId: <RequestId> Content-Type: application/x-amz-json-1.1 Content-Length: <PayloadSizeBytes> Date: <Date> { "CreatedAt":1410560805.669, "CreatedByIamUser":"arn:aws:iam::<awsAccountId>:user/user", "EvaluationDataSourceId":"EXAMPLE-ev-ds-2014-09-12-15-14-04-411", "EvaluationId":"ev-2014-09-12-15-14-04-924", "InputDataLocationS3": "s3://eml-test-EXAMPLE/example.csv", "LastUpdatedAt":1410560805.669, "LogUri": "https://s3bucket/locationToLogs/logname.tar.gz", "Name":"EXAMPLE", "PerformanceMetrics":{"Properties":{}}, "MLModelId":"EXAMPLE-pr-2014-09-12-15-14-04-924", "Status":"COMPLETED", "ComputeTime":"185200", "FinishedAt":1410560805.669, "StartedAt":1410560805.669 }

See Also

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