com.amazonaws.services.personalize.model

Class CreateSolutionVersionRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.personalize.model.CreateSolutionVersionRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

Method Summary

Modifier and Type	Method and Description
CreateSolutionVersionRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getName() The name of the solution version.
String	getSolutionArn() The Amazon Resource Name (ARN) of the solution containing the training configuration information.
List<Tag>	getTags() A list of tags to apply to the solution version.
String	getTrainingMode() The scope of training to be performed when creating the solution version.
int	hashCode()
void	setName(String name) The name of the solution version.
void	setSolutionArn(String solutionArn) The Amazon Resource Name (ARN) of the solution containing the training configuration information.
void	setTags(Collection<Tag> tags) A list of tags to apply to the solution version.
void	setTrainingMode(String trainingMode) The scope of training to be performed when creating the solution version.
String	toString() Returns a string representation of this object.
CreateSolutionVersionRequest	withName(String name) The name of the solution version.
CreateSolutionVersionRequest	withSolutionArn(String solutionArn) The Amazon Resource Name (ARN) of the solution containing the training configuration information.
CreateSolutionVersionRequest	withTags(Collection<Tag> tags) A list of tags to apply to the solution version.
CreateSolutionVersionRequest	withTags(Tag... tags) A list of tags to apply to the solution version.
CreateSolutionVersionRequest	withTrainingMode(String trainingMode) The scope of training to be performed when creating the solution version.
CreateSolutionVersionRequest	withTrainingMode(TrainingMode trainingMode) The scope of training to be performed when creating the solution version.

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

CreateSolutionVersionRequest

public CreateSolutionVersionRequest()

Method Detail

setName

public void setName(String name)

The name of the solution version.

Parameters:

name - The name of the solution version.

getName

public String getName()

The name of the solution version.

Returns:

The name of the solution version.

withName

public CreateSolutionVersionRequest withName(String name)

The name of the solution version.

Parameters:

name - The name of the solution version.

Returns:

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

setSolutionArn

public void setSolutionArn(String solutionArn)

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

Parameters:

solutionArn - The Amazon Resource Name (ARN) of the solution containing the training configuration information.

getSolutionArn

public String getSolutionArn()

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

Returns:

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

withSolutionArn

public CreateSolutionVersionRequest withSolutionArn(String solutionArn)

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

Parameters:

solutionArn - The Amazon Resource Name (ARN) of the solution containing the training configuration information.

Returns:

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

setTrainingMode

public void setTrainingMode(String trainingMode)

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

Parameters:

trainingMode - The scope of training to be performed when creating the solution version. The default is FULL . This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

See Also:

TrainingMode

getTrainingMode

public String getTrainingMode()

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

Returns:

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

See Also:

TrainingMode

withTrainingMode

public CreateSolutionVersionRequest withTrainingMode(String trainingMode)

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

Parameters:

trainingMode - The scope of training to be performed when creating the solution version. The default is FULL . This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

Returns:

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

See Also:

TrainingMode

withTrainingMode

public CreateSolutionVersionRequest withTrainingMode(TrainingMode trainingMode)

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

Parameters:

trainingMode - The scope of training to be performed when creating the solution version. The default is FULL . This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

Returns:

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

See Also:

TrainingMode

getTags

public List<Tag> getTags()

A list of tags to apply to the solution version.

Returns:

A list of tags to apply to the solution version.

setTags

public void setTags(Collection<Tag> tags)

A list of tags to apply to the solution version.

Parameters:

tags - A list of tags to apply to the solution version.

withTags

public CreateSolutionVersionRequest withTags(Tag... tags)

A list of tags to apply to the solution version.

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

Parameters:

tags - A list of tags to apply to the solution version.

Returns:

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

withTags

public CreateSolutionVersionRequest withTags(Collection<Tag> tags)

A list of tags to apply to the solution version.

Parameters:

tags - A list of tags to apply to the solution version.

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 CreateSolutionVersionRequest 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()