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/AWS1/CL_ML_GETEVALOUTPUT

Represents the output of a GetEvaluation operation and describes an Evaluation.

CONSTRUCTOR

IMPORTING

Optional arguments:

iv_evaluationid TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID

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

iv_mlmodelid TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID

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

iv_evaluationdatasourceid TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID

The DataSource used for this evaluation.

iv_inputdatalocations3 TYPE /AWS1/ML_S3URL /AWS1/ML_S3URL

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

iv_createdbyiamuser TYPE /AWS1/ML_AWSUSERARN /AWS1/ML_AWSUSERARN

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.

iv_createdat TYPE /AWS1/ML_EPOCHTIME /AWS1/ML_EPOCHTIME

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

iv_lastupdatedat TYPE /AWS1/ML_EPOCHTIME /AWS1/ML_EPOCHTIME

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

iv_name TYPE /AWS1/ML_ENTITYNAME /AWS1/ML_ENTITYNAME

A user-supplied name or description of the Evaluation.

iv_status TYPE /AWS1/ML_ENTITYSTATUS /AWS1/ML_ENTITYSTATUS

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.

io_performancemetrics TYPE REF TO /AWS1/CL_ML_PERFORMANCEMETRICS /AWS1/CL_ML_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.

iv_loguri TYPE /AWS1/ML_PRESIGNEDS3URL /AWS1/ML_PRESIGNEDS3URL

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

iv_message TYPE /AWS1/ML_MESSAGE /AWS1/ML_MESSAGE

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

iv_computetime TYPE /AWS1/ML_LONGTYPE /AWS1/ML_LONGTYPE

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.

iv_finishedat TYPE /AWS1/ML_EPOCHTIME /AWS1/ML_EPOCHTIME

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.

iv_startedat TYPE /AWS1/ML_EPOCHTIME /AWS1/ML_EPOCHTIME

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

Queryable Attributes

EvaluationId

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

Accessible with the following methods

Method Description
GET_EVALUATIONID() Getter for EVALUATIONID, with configurable default
ASK_EVALUATIONID() Getter for EVALUATIONID w/ exceptions if field has no value
HAS_EVALUATIONID() Determine if EVALUATIONID has a value

MLModelId

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

Accessible with the following methods

Method Description
GET_MLMODELID() Getter for MLMODELID, with configurable default
ASK_MLMODELID() Getter for MLMODELID w/ exceptions if field has no value
HAS_MLMODELID() Determine if MLMODELID has a value

EvaluationDataSourceId

The DataSource used for this evaluation.

Accessible with the following methods

Method Description
GET_EVALUATIONDATASOURCEID() Getter for EVALUATIONDATASOURCEID, with configurable default
ASK_EVALUATIONDATASOURCEID() Getter for EVALUATIONDATASOURCEID w/ exceptions if field has
HAS_EVALUATIONDATASOURCEID() Determine if EVALUATIONDATASOURCEID has a value

InputDataLocationS3

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

Accessible with the following methods

Method Description
GET_INPUTDATALOCATIONS3() Getter for INPUTDATALOCATIONS3, with configurable default
ASK_INPUTDATALOCATIONS3() Getter for INPUTDATALOCATIONS3 w/ exceptions if field has no
HAS_INPUTDATALOCATIONS3() Determine if INPUTDATALOCATIONS3 has a value

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.

Accessible with the following methods

Method Description
GET_CREATEDBYIAMUSER() Getter for CREATEDBYIAMUSER, with configurable default
ASK_CREATEDBYIAMUSER() Getter for CREATEDBYIAMUSER w/ exceptions if field has no va
HAS_CREATEDBYIAMUSER() Determine if CREATEDBYIAMUSER has a value

CreatedAt

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

Accessible with the following methods

Method Description
GET_CREATEDAT() Getter for CREATEDAT, with configurable default
ASK_CREATEDAT() Getter for CREATEDAT w/ exceptions if field has no value
HAS_CREATEDAT() Determine if CREATEDAT has a value

LastUpdatedAt

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

Accessible with the following methods

Method Description
GET_LASTUPDATEDAT() Getter for LASTUPDATEDAT, with configurable default
ASK_LASTUPDATEDAT() Getter for LASTUPDATEDAT w/ exceptions if field has no value
HAS_LASTUPDATEDAT() Determine if LASTUPDATEDAT has a value

Name

A user-supplied name or description of the Evaluation.

Accessible with the following methods

Method Description
GET_NAME() Getter for NAME, with configurable default
ASK_NAME() Getter for NAME w/ exceptions if field has no value
HAS_NAME() Determine if NAME has a value

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.

Accessible with the following methods

Method Description
GET_STATUS() Getter for STATUS, with configurable default
ASK_STATUS() Getter for STATUS w/ exceptions if field has no value
HAS_STATUS() Determine if STATUS has a value

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.

Accessible with the following methods

Method Description
GET_PERFORMANCEMETRICS() Getter for PERFORMANCEMETRICS

LogUri

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

Accessible with the following methods

Method Description
GET_LOGURI() Getter for LOGURI, with configurable default
ASK_LOGURI() Getter for LOGURI w/ exceptions if field has no value
HAS_LOGURI() Determine if LOGURI has a value

Message

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

Accessible with the following methods

Method Description
GET_MESSAGE() Getter for MESSAGE, with configurable default
ASK_MESSAGE() Getter for MESSAGE w/ exceptions if field has no value
HAS_MESSAGE() Determine if MESSAGE has a value

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.

Accessible with the following methods

Method Description
GET_COMPUTETIME() Getter for COMPUTETIME, with configurable default
ASK_COMPUTETIME() Getter for COMPUTETIME w/ exceptions if field has no value
HAS_COMPUTETIME() Determine if COMPUTETIME has a value

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.

Accessible with the following methods

Method Description
GET_FINISHEDAT() Getter for FINISHEDAT, with configurable default
ASK_FINISHEDAT() Getter for FINISHEDAT w/ exceptions if field has no value
HAS_FINISHEDAT() Determine if FINISHEDAT has a value

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.

Accessible with the following methods

Method Description
GET_STARTEDAT() Getter for STARTEDAT, with configurable default
ASK_STARTEDAT() Getter for STARTEDAT w/ exceptions if field has no value
HAS_STARTEDAT() Determine if STARTEDAT has a value