com.amazonaws.services.forecast.model

Class DescribeAutoPredictorResult

java.lang.Object

com.amazonaws.AmazonWebServiceResult<ResponseMetadata>

com.amazonaws.services.forecast.model.DescribeAutoPredictorResult

All Implemented Interfaces:

Serializable, Cloneable

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

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
DescribeAutoPredictorResult()

Method Summary

Modifier and Type	Method and Description
DescribeAutoPredictorResult	clone()
boolean	equals(Object obj)
Date	getCreationTime() The timestamp of the CreateAutoPredictor request.
DataConfig	getDataConfig() The data configuration for your dataset group and any additional datasets.
List<String>	getDatasetImportJobArns() An array of the ARNs of the dataset import jobs used to import training data for the predictor.
EncryptionConfig	getEncryptionConfig()
Long	getEstimatedTimeRemainingInMinutes() The estimated time remaining in minutes for the predictor training job to complete.
ExplainabilityInfo	getExplainabilityInfo() Provides the status and ARN of the Predictor Explainability.
List<String>	getForecastDimensions() An array of dimension (field) names that specify the attributes used to group your time series.
String	getForecastFrequency() The frequency of predictions in a forecast.
Integer	getForecastHorizon() The number of time-steps that the model predicts.
List<String>	getForecastTypes() The forecast types used during predictor training.
Date	getLastModificationTime() The last time the resource was modified.
String	getMessage() In the event of an error, a message detailing the cause of the error.
MonitorInfo	getMonitorInfo() A object with the Amazon Resource Name (ARN) and status of the monitor resource.
String	getOptimizationMetric() The accuracy metric used to optimize the predictor.
String	getPredictorArn() The Amazon Resource Name (ARN) of the predictor
String	getPredictorName() The name of the predictor.
ReferencePredictorSummary	getReferencePredictorSummary() The ARN and state of the reference predictor.
String	getStatus() The status of the predictor.
TimeAlignmentBoundary	getTimeAlignmentBoundary() The time boundary Forecast uses when aggregating data.
int	hashCode()
void	setCreationTime(Date creationTime) The timestamp of the CreateAutoPredictor request.
void	setDataConfig(DataConfig dataConfig) The data configuration for your dataset group and any additional datasets.
void	setDatasetImportJobArns(Collection<String> datasetImportJobArns) An array of the ARNs of the dataset import jobs used to import training data for the predictor.
void	setEncryptionConfig(EncryptionConfig encryptionConfig)
void	setEstimatedTimeRemainingInMinutes(Long estimatedTimeRemainingInMinutes) The estimated time remaining in minutes for the predictor training job to complete.
void	setExplainabilityInfo(ExplainabilityInfo explainabilityInfo) Provides the status and ARN of the Predictor Explainability.
void	setForecastDimensions(Collection<String> forecastDimensions) An array of dimension (field) names that specify the attributes used to group your time series.
void	setForecastFrequency(String forecastFrequency) The frequency of predictions in a forecast.
void	setForecastHorizon(Integer forecastHorizon) The number of time-steps that the model predicts.
void	setForecastTypes(Collection<String> forecastTypes) The forecast types used during predictor training.
void	setLastModificationTime(Date lastModificationTime) The last time the resource was modified.
void	setMessage(String message) In the event of an error, a message detailing the cause of the error.
void	setMonitorInfo(MonitorInfo monitorInfo) A object with the Amazon Resource Name (ARN) and status of the monitor resource.
void	setOptimizationMetric(String optimizationMetric) The accuracy metric used to optimize the predictor.
void	setPredictorArn(String predictorArn) The Amazon Resource Name (ARN) of the predictor
void	setPredictorName(String predictorName) The name of the predictor.
void	setReferencePredictorSummary(ReferencePredictorSummary referencePredictorSummary) The ARN and state of the reference predictor.
void	setStatus(String status) The status of the predictor.
void	setTimeAlignmentBoundary(TimeAlignmentBoundary timeAlignmentBoundary) The time boundary Forecast uses when aggregating data.
String	toString() Returns a string representation of this object.
DescribeAutoPredictorResult	withCreationTime(Date creationTime) The timestamp of the CreateAutoPredictor request.
DescribeAutoPredictorResult	withDataConfig(DataConfig dataConfig) The data configuration for your dataset group and any additional datasets.
DescribeAutoPredictorResult	withDatasetImportJobArns(Collection<String> datasetImportJobArns) An array of the ARNs of the dataset import jobs used to import training data for the predictor.
DescribeAutoPredictorResult	withDatasetImportJobArns(String... datasetImportJobArns) An array of the ARNs of the dataset import jobs used to import training data for the predictor.
DescribeAutoPredictorResult	withEncryptionConfig(EncryptionConfig encryptionConfig)
DescribeAutoPredictorResult	withEstimatedTimeRemainingInMinutes(Long estimatedTimeRemainingInMinutes) The estimated time remaining in minutes for the predictor training job to complete.
DescribeAutoPredictorResult	withExplainabilityInfo(ExplainabilityInfo explainabilityInfo) Provides the status and ARN of the Predictor Explainability.
DescribeAutoPredictorResult	withForecastDimensions(Collection<String> forecastDimensions) An array of dimension (field) names that specify the attributes used to group your time series.
DescribeAutoPredictorResult	withForecastDimensions(String... forecastDimensions) An array of dimension (field) names that specify the attributes used to group your time series.
DescribeAutoPredictorResult	withForecastFrequency(String forecastFrequency) The frequency of predictions in a forecast.
DescribeAutoPredictorResult	withForecastHorizon(Integer forecastHorizon) The number of time-steps that the model predicts.
DescribeAutoPredictorResult	withForecastTypes(Collection<String> forecastTypes) The forecast types used during predictor training.
DescribeAutoPredictorResult	withForecastTypes(String... forecastTypes) The forecast types used during predictor training.
DescribeAutoPredictorResult	withLastModificationTime(Date lastModificationTime) The last time the resource was modified.
DescribeAutoPredictorResult	withMessage(String message) In the event of an error, a message detailing the cause of the error.
DescribeAutoPredictorResult	withMonitorInfo(MonitorInfo monitorInfo) A object with the Amazon Resource Name (ARN) and status of the monitor resource.
DescribeAutoPredictorResult	withOptimizationMetric(OptimizationMetric optimizationMetric) The accuracy metric used to optimize the predictor.
DescribeAutoPredictorResult	withOptimizationMetric(String optimizationMetric) The accuracy metric used to optimize the predictor.
DescribeAutoPredictorResult	withPredictorArn(String predictorArn) The Amazon Resource Name (ARN) of the predictor
DescribeAutoPredictorResult	withPredictorName(String predictorName) The name of the predictor.
DescribeAutoPredictorResult	withReferencePredictorSummary(ReferencePredictorSummary referencePredictorSummary) The ARN and state of the reference predictor.
DescribeAutoPredictorResult	withStatus(String status) The status of the predictor.
DescribeAutoPredictorResult	withTimeAlignmentBoundary(TimeAlignmentBoundary timeAlignmentBoundary) The time boundary Forecast uses when aggregating data.

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

DescribeAutoPredictorResult

public DescribeAutoPredictorResult()

Method Detail

setPredictorArn

public void setPredictorArn(String predictorArn)

The Amazon Resource Name (ARN) of the predictor

Parameters:

predictorArn - The Amazon Resource Name (ARN) of the predictor

getPredictorArn

public String getPredictorArn()

The Amazon Resource Name (ARN) of the predictor

Returns:

The Amazon Resource Name (ARN) of the predictor

withPredictorArn

public DescribeAutoPredictorResult withPredictorArn(String predictorArn)

The Amazon Resource Name (ARN) of the predictor

Parameters:

predictorArn - The Amazon Resource Name (ARN) of the predictor

Returns:

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

setPredictorName

public void setPredictorName(String predictorName)

The name of the predictor.

Parameters:

predictorName - The name of the predictor.

getPredictorName

public String getPredictorName()

The name of the predictor.

Returns:

The name of the predictor.

withPredictorName

public DescribeAutoPredictorResult withPredictorName(String predictorName)

The name of the predictor.

Parameters:

predictorName - The name of the predictor.

Returns:

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

setForecastHorizon

public void setForecastHorizon(Integer forecastHorizon)

The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

Parameters:

forecastHorizon - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

getForecastHorizon

public Integer getForecastHorizon()

The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

Returns:

The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

withForecastHorizon

public DescribeAutoPredictorResult withForecastHorizon(Integer forecastHorizon)

The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

Parameters:

forecastHorizon - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

Returns:

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

getForecastTypes

public List<String> getForecastTypes()

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

Returns:

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

setForecastTypes

public void setForecastTypes(Collection<String> forecastTypes)

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

Parameters:

forecastTypes - The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

withForecastTypes

public DescribeAutoPredictorResult withForecastTypes(String... forecastTypes)

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

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

Parameters:

forecastTypes - The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

Returns:

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

withForecastTypes

public DescribeAutoPredictorResult withForecastTypes(Collection<String> forecastTypes)

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

Parameters:

forecastTypes - The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

Returns:

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

setForecastFrequency

public void setForecastFrequency(String forecastFrequency)

The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

Parameters:

forecastFrequency - The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

getForecastFrequency

public String getForecastFrequency()

The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

Returns:

The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

withForecastFrequency

public DescribeAutoPredictorResult withForecastFrequency(String forecastFrequency)

The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

Parameters:

forecastFrequency - The frequency of predictions in a forecast.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.

Returns:

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

getForecastDimensions

public List<String> getForecastDimensions()

An array of dimension (field) names that specify the attributes used to group your time series.

Returns:

An array of dimension (field) names that specify the attributes used to group your time series.

setForecastDimensions

public void setForecastDimensions(Collection<String> forecastDimensions)

An array of dimension (field) names that specify the attributes used to group your time series.

Parameters:

forecastDimensions - An array of dimension (field) names that specify the attributes used to group your time series.

withForecastDimensions

public DescribeAutoPredictorResult withForecastDimensions(String... forecastDimensions)

An array of dimension (field) names that specify the attributes used to group your time series.

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

Parameters:

forecastDimensions - An array of dimension (field) names that specify the attributes used to group your time series.

Returns:

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

withForecastDimensions

public DescribeAutoPredictorResult withForecastDimensions(Collection<String> forecastDimensions)

An array of dimension (field) names that specify the attributes used to group your time series.

Parameters:

forecastDimensions - An array of dimension (field) names that specify the attributes used to group your time series.

Returns:

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

getDatasetImportJobArns

public List<String> getDatasetImportJobArns()

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

Returns:

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

setDatasetImportJobArns

public void setDatasetImportJobArns(Collection<String> datasetImportJobArns)

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

Parameters:

datasetImportJobArns - An array of the ARNs of the dataset import jobs used to import training data for the predictor.

withDatasetImportJobArns

public DescribeAutoPredictorResult withDatasetImportJobArns(String... datasetImportJobArns)

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

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

Parameters:

datasetImportJobArns - An array of the ARNs of the dataset import jobs used to import training data for the predictor.

Returns:

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

withDatasetImportJobArns

public DescribeAutoPredictorResult withDatasetImportJobArns(Collection<String> datasetImportJobArns)

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

Parameters:

datasetImportJobArns - An array of the ARNs of the dataset import jobs used to import training data for the predictor.

Returns:

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

setDataConfig

public void setDataConfig(DataConfig dataConfig)

The data configuration for your dataset group and any additional datasets.

Parameters:

dataConfig - The data configuration for your dataset group and any additional datasets.

getDataConfig

public DataConfig getDataConfig()

The data configuration for your dataset group and any additional datasets.

Returns:

The data configuration for your dataset group and any additional datasets.

withDataConfig

public DescribeAutoPredictorResult withDataConfig(DataConfig dataConfig)

The data configuration for your dataset group and any additional datasets.

Parameters:

dataConfig - The data configuration for your dataset group and any additional datasets.

Returns:

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

setEncryptionConfig

public void setEncryptionConfig(EncryptionConfig encryptionConfig)

Parameters:

encryptionConfig -

getEncryptionConfig

public EncryptionConfig getEncryptionConfig()

Returns:

withEncryptionConfig

public DescribeAutoPredictorResult withEncryptionConfig(EncryptionConfig encryptionConfig)

Parameters:

encryptionConfig -

Returns:

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

setReferencePredictorSummary

public void setReferencePredictorSummary(ReferencePredictorSummary referencePredictorSummary)

The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

Parameters:

referencePredictorSummary - The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

getReferencePredictorSummary

public ReferencePredictorSummary getReferencePredictorSummary()

The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

Returns:

The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

withReferencePredictorSummary

public DescribeAutoPredictorResult withReferencePredictorSummary(ReferencePredictorSummary referencePredictorSummary)

The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

Parameters:

referencePredictorSummary - The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

Returns:

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

setEstimatedTimeRemainingInMinutes

public void setEstimatedTimeRemainingInMinutes(Long estimatedTimeRemainingInMinutes)

The estimated time remaining in minutes for the predictor training job to complete.

Parameters:

estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the predictor training job to complete.

getEstimatedTimeRemainingInMinutes

public Long getEstimatedTimeRemainingInMinutes()

The estimated time remaining in minutes for the predictor training job to complete.

Returns:

The estimated time remaining in minutes for the predictor training job to complete.

withEstimatedTimeRemainingInMinutes

public DescribeAutoPredictorResult withEstimatedTimeRemainingInMinutes(Long estimatedTimeRemainingInMinutes)

The estimated time remaining in minutes for the predictor training job to complete.

Parameters:

estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the predictor training job to complete.

Returns:

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

setStatus

public void setStatus(String status)

The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• CREATE_STOPPING, CREATE_STOPPED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

Parameters:

status - The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• CREATE_STOPPING, CREATE_STOPPED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

getStatus

public String getStatus()

The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• CREATE_STOPPING, CREATE_STOPPED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

Returns:

The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• CREATE_STOPPING, CREATE_STOPPED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

withStatus

public DescribeAutoPredictorResult withStatus(String status)

The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• CREATE_STOPPING, CREATE_STOPPED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

Parameters:

status - The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• CREATE_STOPPING, CREATE_STOPPED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

Returns:

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

setMessage

public void setMessage(String message)

In the event of an error, a message detailing the cause of the error.

Parameters:

message - In the event of an error, a message detailing the cause of the error.

getMessage

public String getMessage()

In the event of an error, a message detailing the cause of the error.

Returns:

In the event of an error, a message detailing the cause of the error.

withMessage

public DescribeAutoPredictorResult withMessage(String message)

In the event of an error, a message detailing the cause of the error.

Parameters:

message - In the event of an error, a message detailing the cause of the error.

Returns:

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

setCreationTime

public void setCreationTime(Date creationTime)

The timestamp of the CreateAutoPredictor request.

Parameters:

creationTime - The timestamp of the CreateAutoPredictor request.

getCreationTime

public Date getCreationTime()

The timestamp of the CreateAutoPredictor request.

Returns:

The timestamp of the CreateAutoPredictor request.

withCreationTime

public DescribeAutoPredictorResult withCreationTime(Date creationTime)

The timestamp of the CreateAutoPredictor request.

Parameters:

creationTime - The timestamp of the CreateAutoPredictor request.

Returns:

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

setLastModificationTime

public void setLastModificationTime(Date lastModificationTime)

The last time the resource was modified. The timestamp depends on the status of the job:

• CREATE_PENDING - The CreationTime.

• CREATE_IN_PROGRESS - The current timestamp.

• CREATE_STOPPING - The current timestamp.

• CREATE_STOPPED - When the job stopped.

• ACTIVE or CREATE_FAILED - When the job finished or failed.

Parameters:

lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

• CREATE_PENDING - The CreationTime.

• CREATE_IN_PROGRESS - The current timestamp.

• CREATE_STOPPING - The current timestamp.

• CREATE_STOPPED - When the job stopped.

• ACTIVE or CREATE_FAILED - When the job finished or failed.

getLastModificationTime

public Date getLastModificationTime()

The last time the resource was modified. The timestamp depends on the status of the job:

• CREATE_PENDING - The CreationTime.

• CREATE_IN_PROGRESS - The current timestamp.

• CREATE_STOPPING - The current timestamp.

• CREATE_STOPPED - When the job stopped.

• ACTIVE or CREATE_FAILED - When the job finished or failed.

Returns:

The last time the resource was modified. The timestamp depends on the status of the job:

• CREATE_PENDING - The CreationTime.

• CREATE_IN_PROGRESS - The current timestamp.

• CREATE_STOPPING - The current timestamp.

• CREATE_STOPPED - When the job stopped.

• ACTIVE or CREATE_FAILED - When the job finished or failed.

withLastModificationTime

public DescribeAutoPredictorResult withLastModificationTime(Date lastModificationTime)

The last time the resource was modified. The timestamp depends on the status of the job:

• CREATE_PENDING - The CreationTime.

• CREATE_IN_PROGRESS - The current timestamp.

• CREATE_STOPPING - The current timestamp.

• CREATE_STOPPED - When the job stopped.

• ACTIVE or CREATE_FAILED - When the job finished or failed.

Parameters:

lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

• CREATE_PENDING - The CreationTime.

• CREATE_IN_PROGRESS - The current timestamp.

• CREATE_STOPPING - The current timestamp.

• CREATE_STOPPED - When the job stopped.

• ACTIVE or CREATE_FAILED - When the job finished or failed.

Returns:

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

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 DescribeAutoPredictorResult 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 DescribeAutoPredictorResult 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

setExplainabilityInfo

public void setExplainabilityInfo(ExplainabilityInfo explainabilityInfo)

Provides the status and ARN of the Predictor Explainability.

Parameters:

explainabilityInfo - Provides the status and ARN of the Predictor Explainability.

getExplainabilityInfo

public ExplainabilityInfo getExplainabilityInfo()

Provides the status and ARN of the Predictor Explainability.

Returns:

Provides the status and ARN of the Predictor Explainability.

withExplainabilityInfo

public DescribeAutoPredictorResult withExplainabilityInfo(ExplainabilityInfo explainabilityInfo)

Provides the status and ARN of the Predictor Explainability.

Parameters:

explainabilityInfo - Provides the status and ARN of the Predictor Explainability.

Returns:

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

setMonitorInfo

public void setMonitorInfo(MonitorInfo monitorInfo)

A object with the Amazon Resource Name (ARN) and status of the monitor resource.

Parameters:

monitorInfo - A object with the Amazon Resource Name (ARN) and status of the monitor resource.

getMonitorInfo

public MonitorInfo getMonitorInfo()

A object with the Amazon Resource Name (ARN) and status of the monitor resource.

Returns:

A object with the Amazon Resource Name (ARN) and status of the monitor resource.

withMonitorInfo

public DescribeAutoPredictorResult withMonitorInfo(MonitorInfo monitorInfo)

A object with the Amazon Resource Name (ARN) and status of the monitor resource.

Parameters:

monitorInfo - A object with the Amazon Resource Name (ARN) and status of the monitor resource.

Returns:

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

setTimeAlignmentBoundary

public void setTimeAlignmentBoundary(TimeAlignmentBoundary timeAlignmentBoundary)

The time boundary Forecast uses when aggregating data.

Parameters:

timeAlignmentBoundary - The time boundary Forecast uses when aggregating data.

getTimeAlignmentBoundary

public TimeAlignmentBoundary getTimeAlignmentBoundary()

The time boundary Forecast uses when aggregating data.

Returns:

The time boundary Forecast uses when aggregating data.

withTimeAlignmentBoundary

public DescribeAutoPredictorResult withTimeAlignmentBoundary(TimeAlignmentBoundary timeAlignmentBoundary)

The time boundary Forecast uses when aggregating data.

Parameters:

timeAlignmentBoundary - The time boundary Forecast uses when aggregating data.

Returns:

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

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 DescribeAutoPredictorResult clone()

Overrides:

clone in class Object