GetEvaluationOutput
import type { GetEvaluationOutput } from "https://aws-api.deno.dev/v0.3/services/machinelearning.ts?docs=full";
Represents the output of a GetEvaluation
operation and describes an Evaluation
.
§Properties
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.
The time that the Evaluation
was created.
The time is expressed in epoch time.
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.
The evaluation ID which is same as the EvaluationId
in the request.
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.
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
The time of the most recent edit to the Evaluation
.
The time is expressed in epoch time.
A link to the file that contains logs of the CreateEvaluation
operation.
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.
The epoch time when Amazon Machine Learning marked the Evaluation
as INPROGRESS
.
StartedAt
isn't available if the Evaluation
is in the PENDING
state.
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 anMLModel
.INPROGRESS
- The evaluation is underway.FAILED
- The request to evaluate anMLModel
did not run to completion. It is not usable.COMPLETED
- The evaluation process completed successfully.DELETED
- TheEvaluation
is marked as deleted. It is not usable.