com.amazonaws.services.lookoutequipment.model

Class UpdateRetrainingSchedulerRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.lookoutequipment.model.UpdateRetrainingSchedulerRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class UpdateRetrainingSchedulerRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
UpdateRetrainingSchedulerRequest()

Method Summary

Modifier and Type	Method and Description
UpdateRetrainingSchedulerRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getLookbackWindow() The number of past days of data that will be used for retraining.
String	getModelName() The name of the model whose retraining scheduler you want to update.
String	getPromoteMode() Indicates how the service will use new models.
String	getRetrainingFrequency() This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported).
Date	getRetrainingStartDate() The start date for the retraining scheduler.
int	hashCode()
void	setLookbackWindow(String lookbackWindow) The number of past days of data that will be used for retraining.
void	setModelName(String modelName) The name of the model whose retraining scheduler you want to update.
void	setPromoteMode(String promoteMode) Indicates how the service will use new models.
void	setRetrainingFrequency(String retrainingFrequency) This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported).
void	setRetrainingStartDate(Date retrainingStartDate) The start date for the retraining scheduler.
String	toString() Returns a string representation of this object.
UpdateRetrainingSchedulerRequest	withLookbackWindow(String lookbackWindow) The number of past days of data that will be used for retraining.
UpdateRetrainingSchedulerRequest	withModelName(String modelName) The name of the model whose retraining scheduler you want to update.
UpdateRetrainingSchedulerRequest	withPromoteMode(ModelPromoteMode promoteMode) Indicates how the service will use new models.
UpdateRetrainingSchedulerRequest	withPromoteMode(String promoteMode) Indicates how the service will use new models.
UpdateRetrainingSchedulerRequest	withRetrainingFrequency(String retrainingFrequency) This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported).
UpdateRetrainingSchedulerRequest	withRetrainingStartDate(Date retrainingStartDate) The start date for the retraining scheduler.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

UpdateRetrainingSchedulerRequest

public UpdateRetrainingSchedulerRequest()

Method Detail

setModelName

public void setModelName(String modelName)

The name of the model whose retraining scheduler you want to update.

Parameters:

modelName - The name of the model whose retraining scheduler you want to update.

getModelName

public String getModelName()

The name of the model whose retraining scheduler you want to update.

Returns:

The name of the model whose retraining scheduler you want to update.

withModelName

public UpdateRetrainingSchedulerRequest withModelName(String modelName)

The name of the model whose retraining scheduler you want to update.

Parameters:

modelName - The name of the model whose retraining scheduler you want to update.

Returns:

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

setRetrainingStartDate

public void setRetrainingStartDate(Date retrainingStartDate)

The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

Parameters:

retrainingStartDate - The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

getRetrainingStartDate

public Date getRetrainingStartDate()

The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

Returns:

The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

withRetrainingStartDate

public UpdateRetrainingSchedulerRequest withRetrainingStartDate(Date retrainingStartDate)

The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

Parameters:

retrainingStartDate - The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

Returns:

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

setRetrainingFrequency

public void setRetrainingFrequency(String retrainingFrequency)

This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

• P3M15D – Every 3 months and 15 days

• P2M – Every 2 months

• P150D – Every 150 days

Parameters:

retrainingFrequency - This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

• P3M15D – Every 3 months and 15 days

• P2M – Every 2 months

• P150D – Every 150 days

getRetrainingFrequency

public String getRetrainingFrequency()

This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

• P3M15D – Every 3 months and 15 days

• P2M – Every 2 months

• P150D – Every 150 days

Returns:

This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

• P3M15D – Every 3 months and 15 days

• P2M – Every 2 months

• P150D – Every 150 days

withRetrainingFrequency

public UpdateRetrainingSchedulerRequest withRetrainingFrequency(String retrainingFrequency)

This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

• P3M15D – Every 3 months and 15 days

• P2M – Every 2 months

• P150D – Every 150 days

Parameters:

retrainingFrequency - This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

• P3M15D – Every 3 months and 15 days

• P2M – Every 2 months

• P150D – Every 150 days

Returns:

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

setLookbackWindow

public void setLookbackWindow(String lookbackWindow)

The number of past days of data that will be used for retraining.

Parameters:

lookbackWindow - The number of past days of data that will be used for retraining.

getLookbackWindow

public String getLookbackWindow()

The number of past days of data that will be used for retraining.

Returns:

The number of past days of data that will be used for retraining.

withLookbackWindow

public UpdateRetrainingSchedulerRequest withLookbackWindow(String lookbackWindow)

The number of past days of data that will be used for retraining.

Parameters:

lookbackWindow - The number of past days of data that will be used for retraining.

Returns:

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

setPromoteMode

public void setPromoteMode(String promoteMode)

Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

Parameters:

promoteMode - Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

See Also:

ModelPromoteMode

getPromoteMode

public String getPromoteMode()

Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

Returns:

Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

See Also:

ModelPromoteMode

withPromoteMode

public UpdateRetrainingSchedulerRequest withPromoteMode(String promoteMode)

Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

Parameters:

promoteMode - Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

Returns:

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

See Also:

ModelPromoteMode

withPromoteMode

public UpdateRetrainingSchedulerRequest withPromoteMode(ModelPromoteMode promoteMode)

Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

Parameters:

promoteMode - Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

Returns:

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

See Also:

ModelPromoteMode

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 UpdateRetrainingSchedulerRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()