com.amazonaws.services.lookoutforvision.model

Class StartModelRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.lookoutforvision.model.StartModelRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class StartModelRequest
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
StartModelRequest()

Method Summary

Modifier and Type	Method and Description
StartModelRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getClientToken() ClientToken is an idempotency token that ensures a call to StartModel completes only once.
Integer	getMaxInferenceUnits() The maximum number of inference units to use for auto-scaling the model.
Integer	getMinInferenceUnits() The minimum number of inference units to use.
String	getModelVersion() The version of the model that you want to start.
String	getProjectName() The name of the project that contains the model that you want to start.
int	hashCode()
void	setClientToken(String clientToken) ClientToken is an idempotency token that ensures a call to StartModel completes only once.
void	setMaxInferenceUnits(Integer maxInferenceUnits) The maximum number of inference units to use for auto-scaling the model.
void	setMinInferenceUnits(Integer minInferenceUnits) The minimum number of inference units to use.
void	setModelVersion(String modelVersion) The version of the model that you want to start.
void	setProjectName(String projectName) The name of the project that contains the model that you want to start.
String	toString() Returns a string representation of this object.
StartModelRequest	withClientToken(String clientToken) ClientToken is an idempotency token that ensures a call to StartModel completes only once.
StartModelRequest	withMaxInferenceUnits(Integer maxInferenceUnits) The maximum number of inference units to use for auto-scaling the model.
StartModelRequest	withMinInferenceUnits(Integer minInferenceUnits) The minimum number of inference units to use.
StartModelRequest	withModelVersion(String modelVersion) The version of the model that you want to start.
StartModelRequest	withProjectName(String projectName) The name of the project that contains the model that you want to start.

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

StartModelRequest

public StartModelRequest()

Method Detail

setProjectName

public void setProjectName(String projectName)

The name of the project that contains the model that you want to start.

Parameters:

projectName - The name of the project that contains the model that you want to start.

getProjectName

public String getProjectName()

The name of the project that contains the model that you want to start.

Returns:

The name of the project that contains the model that you want to start.

withProjectName

public StartModelRequest withProjectName(String projectName)

The name of the project that contains the model that you want to start.

Parameters:

projectName - The name of the project that contains the model that you want to start.

Returns:

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

setModelVersion

public void setModelVersion(String modelVersion)

The version of the model that you want to start.

Parameters:

modelVersion - The version of the model that you want to start.

getModelVersion

public String getModelVersion()

The version of the model that you want to start.

Returns:

The version of the model that you want to start.

withModelVersion

public StartModelRequest withModelVersion(String modelVersion)

The version of the model that you want to start.

Parameters:

modelVersion - The version of the model that you want to start.

Returns:

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

setMinInferenceUnits

public void setMinInferenceUnits(Integer minInferenceUnits)

The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Parameters:

minInferenceUnits - The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

getMinInferenceUnits

public Integer getMinInferenceUnits()

The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Returns:

The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

withMinInferenceUnits

public StartModelRequest withMinInferenceUnits(Integer minInferenceUnits)

The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Parameters:

minInferenceUnits - The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

Returns:

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

setClientToken

public void setClientToken(String clientToken)

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

Parameters:

clientToken - ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

getClientToken

public String getClientToken()

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

Returns:

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

withClientToken

public StartModelRequest withClientToken(String clientToken)

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

Parameters:

clientToken - ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

Returns:

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

setMaxInferenceUnits

public void setMaxInferenceUnits(Integer maxInferenceUnits)

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.

Parameters:

maxInferenceUnits - The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.

getMaxInferenceUnits

public Integer getMaxInferenceUnits()

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.

Returns:

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.

withMaxInferenceUnits

public StartModelRequest withMaxInferenceUnits(Integer maxInferenceUnits)

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.

Parameters:

maxInferenceUnits - The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.

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 StartModelRequest 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()