Class GetEvaluationResponse
- java.lang.Object
-
- software.amazon.awssdk.core.SdkResponse
-
- software.amazon.awssdk.awscore.AwsResponse
-
- software.amazon.awssdk.services.machinelearning.model.MachineLearningResponse
-
- software.amazon.awssdk.services.machinelearning.model.GetEvaluationResponse
-
- All Implemented Interfaces:
SdkPojo,ToCopyableBuilder<GetEvaluationResponse.Builder,GetEvaluationResponse>
@Generated("software.amazon.awssdk:codegen") public final class GetEvaluationResponse extends MachineLearningResponse implements ToCopyableBuilder<GetEvaluationResponse.Builder,GetEvaluationResponse>
Represents the output of a
GetEvaluationoperation and describes anEvaluation.
-
-
Nested Class Summary
Nested Classes Modifier and Type Class Description static interfaceGetEvaluationResponse.Builder
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static GetEvaluationResponse.Builderbuilder()LongcomputeTime()The approximate CPU time in milliseconds that Amazon Machine Learning spent processing theEvaluation, normalized and scaled on computation resources.InstantcreatedAt()The time that theEvaluationwas created.StringcreatedByIamUser()The AWS user account that invoked the evaluation.booleanequals(Object obj)booleanequalsBySdkFields(Object obj)StringevaluationDataSourceId()TheDataSourceused for this evaluation.StringevaluationId()The evaluation ID which is same as theEvaluationIdin the request.InstantfinishedAt()The epoch time when Amazon Machine Learning marked theEvaluationasCOMPLETEDorFAILED.<T> Optional<T>getValueForField(String fieldName, Class<T> clazz)inthashCode()StringinputDataLocationS3()The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).InstantlastUpdatedAt()The time of the most recent edit to theEvaluation.StringlogUri()A link to the file that contains logs of theCreateEvaluationoperation.Stringmessage()A description of the most recent details about evaluating theMLModel.StringmlModelId()The ID of theMLModelthat was the focus of the evaluation.Stringname()A user-supplied name or description of theEvaluation.PerformanceMetricsperformanceMetrics()Measurements of how well theMLModelperformed using observations referenced by theDataSource.List<SdkField<?>>sdkFields()static Class<? extends GetEvaluationResponse.Builder>serializableBuilderClass()InstantstartedAt()The epoch time when Amazon Machine Learning marked theEvaluationasINPROGRESS.EntityStatusstatus()The status of the evaluation.StringstatusAsString()The status of the evaluation.GetEvaluationResponse.BuildertoBuilder()StringtoString()Returns a string representation of this object.-
Methods inherited from class software.amazon.awssdk.services.machinelearning.model.MachineLearningResponse
responseMetadata
-
Methods inherited from class software.amazon.awssdk.core.SdkResponse
sdkHttpResponse
-
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
-
Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
-
-
-
-
Method Detail
-
evaluationId
public final String evaluationId()
The evaluation ID which is same as the
EvaluationIdin the request.- Returns:
- The evaluation ID which is same as the
EvaluationIdin the request.
-
mlModelId
public final String mlModelId()
The ID of the
MLModelthat was the focus of the evaluation.- Returns:
- The ID of the
MLModelthat was the focus of the evaluation.
-
evaluationDataSourceId
public final String evaluationDataSourceId()
The
DataSourceused for this evaluation.- Returns:
- The
DataSourceused for this evaluation.
-
inputDataLocationS3
public final String inputDataLocationS3()
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
- Returns:
- The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
-
createdByIamUser
public final String 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.
- Returns:
- 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.
-
createdAt
public final Instant createdAt()
The time that the
Evaluationwas created. The time is expressed in epoch time.- Returns:
- The time that the
Evaluationwas created. The time is expressed in epoch time.
-
lastUpdatedAt
public final Instant lastUpdatedAt()
The time of the most recent edit to the
Evaluation. The time is expressed in epoch time.- Returns:
- The time of the most recent edit to the
Evaluation. The time is expressed in epoch time.
-
name
public final String name()
A user-supplied name or description of the
Evaluation.- Returns:
- A user-supplied name or description of the
Evaluation.
-
status
public final EntityStatus 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 anMLModel. -
INPROGRESS- The evaluation is underway. -
FAILED- The request to evaluate anMLModeldid not run to completion. It is not usable. -
COMPLETED- The evaluation process completed successfully. -
DELETED- TheEvaluationis marked as deleted. It is not usable.
If the service returns an enum value that is not available in the current SDK version,
statuswill returnEntityStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromstatusAsString().- Returns:
- 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 anMLModeldid not run to completion. It is not usable. -
COMPLETED- The evaluation process completed successfully. -
DELETED- TheEvaluationis marked as deleted. It is not usable.
-
- See Also:
EntityStatus
-
-
statusAsString
public final String statusAsString()
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 anMLModeldid not run to completion. It is not usable. -
COMPLETED- The evaluation process completed successfully. -
DELETED- TheEvaluationis marked as deleted. It is not usable.
If the service returns an enum value that is not available in the current SDK version,
statuswill returnEntityStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromstatusAsString().- Returns:
- 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 anMLModeldid not run to completion. It is not usable. -
COMPLETED- The evaluation process completed successfully. -
DELETED- TheEvaluationis marked as deleted. It is not usable.
-
- See Also:
EntityStatus
-
-
performanceMetrics
public final PerformanceMetrics performanceMetrics()
Measurements of how well the
MLModelperformed using observations referenced by theDataSource. One of the following metric is returned based on the type of theMLModel:-
BinaryAUC: A binary
MLModeluses the Area Under the Curve (AUC) technique to measure performance. -
RegressionRMSE: A regression
MLModeluses 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
MLModeluses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
- Returns:
- Measurements of how well the
MLModelperformed using observations referenced by theDataSource. One of the following metric is returned based on the type of theMLModel:-
BinaryAUC: A binary
MLModeluses the Area Under the Curve (AUC) technique to measure performance. -
RegressionRMSE: A regression
MLModeluses 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
MLModeluses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
-
-
-
logUri
public final String logUri()
A link to the file that contains logs of the
CreateEvaluationoperation.- Returns:
- A link to the file that contains logs of the
CreateEvaluationoperation.
-
message
public final String message()
A description of the most recent details about evaluating the
MLModel.- Returns:
- A description of the most recent details about evaluating the
MLModel.
-
computeTime
public final Long computeTime()
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the
Evaluation, normalized and scaled on computation resources.ComputeTimeis only available if theEvaluationis in theCOMPLETEDstate.- Returns:
- The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the
Evaluation, normalized and scaled on computation resources.ComputeTimeis only available if theEvaluationis in theCOMPLETEDstate.
-
finishedAt
public final Instant finishedAt()
The epoch time when Amazon Machine Learning marked the
EvaluationasCOMPLETEDorFAILED.FinishedAtis only available when theEvaluationis in theCOMPLETEDorFAILEDstate.- Returns:
- The epoch time when Amazon Machine Learning marked the
EvaluationasCOMPLETEDorFAILED.FinishedAtis only available when theEvaluationis in theCOMPLETEDorFAILEDstate.
-
startedAt
public final Instant startedAt()
The epoch time when Amazon Machine Learning marked the
EvaluationasINPROGRESS.StartedAtisn't available if theEvaluationis in thePENDINGstate.- Returns:
- The epoch time when Amazon Machine Learning marked the
EvaluationasINPROGRESS.StartedAtisn't available if theEvaluationis in thePENDINGstate.
-
toBuilder
public GetEvaluationResponse.Builder toBuilder()
- Specified by:
toBuilderin interfaceToCopyableBuilder<GetEvaluationResponse.Builder,GetEvaluationResponse>- Specified by:
toBuilderin classAwsResponse
-
builder
public static GetEvaluationResponse.Builder builder()
-
serializableBuilderClass
public static Class<? extends GetEvaluationResponse.Builder> serializableBuilderClass()
-
hashCode
public final int hashCode()
- Overrides:
hashCodein classAwsResponse
-
equals
public final boolean equals(Object obj)
- Overrides:
equalsin classAwsResponse
-
equalsBySdkFields
public final boolean equalsBySdkFields(Object obj)
- Specified by:
equalsBySdkFieldsin interfaceSdkPojo
-
toString
public final String toString()
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
-
getValueForField
public final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz)
- Overrides:
getValueForFieldin classSdkResponse
-
-