com.amazonaws.services.forecast.model

Class GetAccuracyMetricsResult

java.lang.Object

com.amazonaws.AmazonWebServiceResult<ResponseMetadata>

com.amazonaws.services.forecast.model.GetAccuracyMetricsResult

All Implemented Interfaces:

Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class GetAccuracyMetricsResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
GetAccuracyMetricsResult()

Method Summary

Modifier and Type	Method and Description
GetAccuracyMetricsResult	clone()
boolean	equals(Object obj)
String	getAutoMLOverrideStrategy()
Boolean	getIsAutoPredictor() Whether the predictor was created with CreateAutoPredictor.
String	getOptimizationMetric() The accuracy metric used to optimize the predictor.
List<EvaluationResult>	getPredictorEvaluationResults() An array of results from evaluating the predictor.
int	hashCode()
Boolean	isAutoPredictor() Whether the predictor was created with CreateAutoPredictor.
void	setAutoMLOverrideStrategy(String autoMLOverrideStrategy)
void	setIsAutoPredictor(Boolean isAutoPredictor) Whether the predictor was created with CreateAutoPredictor.
void	setOptimizationMetric(String optimizationMetric) The accuracy metric used to optimize the predictor.
void	setPredictorEvaluationResults(Collection<EvaluationResult> predictorEvaluationResults) An array of results from evaluating the predictor.
String	toString() Returns a string representation of this object.
GetAccuracyMetricsResult	withAutoMLOverrideStrategy(AutoMLOverrideStrategy autoMLOverrideStrategy)
GetAccuracyMetricsResult	withAutoMLOverrideStrategy(String autoMLOverrideStrategy)
GetAccuracyMetricsResult	withIsAutoPredictor(Boolean isAutoPredictor) Whether the predictor was created with CreateAutoPredictor.
GetAccuracyMetricsResult	withOptimizationMetric(OptimizationMetric optimizationMetric) The accuracy metric used to optimize the predictor.
GetAccuracyMetricsResult	withOptimizationMetric(String optimizationMetric) The accuracy metric used to optimize the predictor.
GetAccuracyMetricsResult	withPredictorEvaluationResults(Collection<EvaluationResult> predictorEvaluationResults) An array of results from evaluating the predictor.
GetAccuracyMetricsResult	withPredictorEvaluationResults(EvaluationResult... predictorEvaluationResults) An array of results from evaluating the predictor.

Methods inherited from class com.amazonaws.AmazonWebServiceResult

getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

GetAccuracyMetricsResult

public GetAccuracyMetricsResult()

Method Detail

getPredictorEvaluationResults

public List<EvaluationResult> getPredictorEvaluationResults()

An array of results from evaluating the predictor.

Returns:

An array of results from evaluating the predictor.

setPredictorEvaluationResults

public void setPredictorEvaluationResults(Collection<EvaluationResult> predictorEvaluationResults)

An array of results from evaluating the predictor.

Parameters:

predictorEvaluationResults - An array of results from evaluating the predictor.

withPredictorEvaluationResults

public GetAccuracyMetricsResult withPredictorEvaluationResults(EvaluationResult... predictorEvaluationResults)

An array of results from evaluating the predictor.

NOTE: This method appends the values to the existing list (if any). Use setPredictorEvaluationResults(java.util.Collection) or withPredictorEvaluationResults(java.util.Collection) if you want to override the existing values.

Parameters:

predictorEvaluationResults - An array of results from evaluating the predictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

withPredictorEvaluationResults

public GetAccuracyMetricsResult withPredictorEvaluationResults(Collection<EvaluationResult> predictorEvaluationResults)

An array of results from evaluating the predictor.

Parameters:

predictorEvaluationResults - An array of results from evaluating the predictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

setIsAutoPredictor

public void setIsAutoPredictor(Boolean isAutoPredictor)

Whether the predictor was created with CreateAutoPredictor.

Parameters:

isAutoPredictor - Whether the predictor was created with CreateAutoPredictor.

getIsAutoPredictor

public Boolean getIsAutoPredictor()

Whether the predictor was created with CreateAutoPredictor.

Returns:

Whether the predictor was created with CreateAutoPredictor.

withIsAutoPredictor

public GetAccuracyMetricsResult withIsAutoPredictor(Boolean isAutoPredictor)

Whether the predictor was created with CreateAutoPredictor.

Parameters:

isAutoPredictor - Whether the predictor was created with CreateAutoPredictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

isAutoPredictor

public Boolean isAutoPredictor()

Whether the predictor was created with CreateAutoPredictor.

Returns:

Whether the predictor was created with CreateAutoPredictor.

setAutoMLOverrideStrategy

public void setAutoMLOverrideStrategy(String autoMLOverrideStrategy)

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Parameters:

autoMLOverrideStrategy -

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

See Also:

AutoMLOverrideStrategy

getAutoMLOverrideStrategy

public String getAutoMLOverrideStrategy()

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Returns:

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

See Also:

AutoMLOverrideStrategy

withAutoMLOverrideStrategy

public GetAccuracyMetricsResult withAutoMLOverrideStrategy(String autoMLOverrideStrategy)

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Parameters:

autoMLOverrideStrategy -

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

AutoMLOverrideStrategy

withAutoMLOverrideStrategy

public GetAccuracyMetricsResult withAutoMLOverrideStrategy(AutoMLOverrideStrategy autoMLOverrideStrategy)

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Parameters:

autoMLOverrideStrategy -

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

AutoMLOverrideStrategy

setOptimizationMetric

public void setOptimizationMetric(String optimizationMetric)

The accuracy metric used to optimize the predictor.

Parameters:

optimizationMetric - The accuracy metric used to optimize the predictor.

See Also:

OptimizationMetric

getOptimizationMetric

public String getOptimizationMetric()

The accuracy metric used to optimize the predictor.

Returns:

The accuracy metric used to optimize the predictor.

See Also:

OptimizationMetric

withOptimizationMetric

public GetAccuracyMetricsResult withOptimizationMetric(String optimizationMetric)

The accuracy metric used to optimize the predictor.

Parameters:

optimizationMetric - The accuracy metric used to optimize the predictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

OptimizationMetric

withOptimizationMetric

public GetAccuracyMetricsResult withOptimizationMetric(OptimizationMetric optimizationMetric)

The accuracy metric used to optimize the predictor.

Parameters:

optimizationMetric - The accuracy metric used to optimize the predictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

OptimizationMetric

toString

public 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.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public GetAccuracyMetricsResult clone()

Overrides:

clone in class Object