SolutionVersion (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.personalize.model.SolutionVersion

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class SolutionVersion
extends Object
implements Serializable, Cloneable, StructuredPojo
```
An object that provides information about a specific version of a Solution.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

SolutionVersion()

Constructors
Constructor and Description
`SolutionVersion()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`SolutionVersion`	`clone()`
`boolean`	`equals(Object obj)`
`Date`	`getCreationDateTime()` The date and time (in Unix time) that this version of the solution was created.
`String`	`getDatasetGroupArn()` The Amazon Resource Name (ARN) of the dataset group providing the training data.
`String`	`getEventType()` The event type (for example, 'click' or 'like') that is used for training the model.
`String`	`getFailureReason()` If training a solution version fails, the reason for the failure.
`Date`	`getLastUpdatedDateTime()` The date and time (in Unix time) that the solution was last updated.
`Boolean`	`getPerformAutoML()` When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration.
`Boolean`	`getPerformHPO()` Whether to perform hyperparameter optimization (HPO) on the chosen recipe.
`String`	`getRecipeArn()` The ARN of the recipe used in the solution.
`String`	`getSolutionArn()` The ARN of the solution.
`SolutionConfig`	`getSolutionConfig()` Describes the configuration properties for the solution.
`String`	`getSolutionVersionArn()` The ARN of the solution version.
`String`	`getStatus()` The status of the solution version.
`Double`	`getTrainingHours()` The time used to train the model.
`String`	`getTrainingMode()` The scope of training to be performed when creating the solution version.
`TunedHPOParams`	`getTunedHPOParams()` If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
`int`	`hashCode()`
`Boolean`	`isPerformAutoML()` When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration.
`Boolean`	`isPerformHPO()` Whether to perform hyperparameter optimization (HPO) on the chosen recipe.
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setCreationDateTime(Date creationDateTime)` The date and time (in Unix time) that this version of the solution was created.
`void`	`setDatasetGroupArn(String datasetGroupArn)` The Amazon Resource Name (ARN) of the dataset group providing the training data.
`void`	`setEventType(String eventType)` The event type (for example, 'click' or 'like') that is used for training the model.
`void`	`setFailureReason(String failureReason)` If training a solution version fails, the reason for the failure.
`void`	`setLastUpdatedDateTime(Date lastUpdatedDateTime)` The date and time (in Unix time) that the solution was last updated.
`void`	`setPerformAutoML(Boolean performAutoML)` When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration.
`void`	`setPerformHPO(Boolean performHPO)` Whether to perform hyperparameter optimization (HPO) on the chosen recipe.
`void`	`setRecipeArn(String recipeArn)` The ARN of the recipe used in the solution.
`void`	`setSolutionArn(String solutionArn)` The ARN of the solution.
`void`	`setSolutionConfig(SolutionConfig solutionConfig)` Describes the configuration properties for the solution.
`void`	`setSolutionVersionArn(String solutionVersionArn)` The ARN of the solution version.
`void`	`setStatus(String status)` The status of the solution version.
`void`	`setTrainingHours(Double trainingHours)` The time used to train the model.
`void`	`setTrainingMode(String trainingMode)` The scope of training to be performed when creating the solution version.
`void`	`setTunedHPOParams(TunedHPOParams tunedHPOParams)` If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
`String`	`toString()` Returns a string representation of this object.
`SolutionVersion`	`withCreationDateTime(Date creationDateTime)` The date and time (in Unix time) that this version of the solution was created.
`SolutionVersion`	`withDatasetGroupArn(String datasetGroupArn)` The Amazon Resource Name (ARN) of the dataset group providing the training data.
`SolutionVersion`	`withEventType(String eventType)` The event type (for example, 'click' or 'like') that is used for training the model.
`SolutionVersion`	`withFailureReason(String failureReason)` If training a solution version fails, the reason for the failure.
`SolutionVersion`	`withLastUpdatedDateTime(Date lastUpdatedDateTime)` The date and time (in Unix time) that the solution was last updated.
`SolutionVersion`	`withPerformAutoML(Boolean performAutoML)` When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration.
`SolutionVersion`	`withPerformHPO(Boolean performHPO)` Whether to perform hyperparameter optimization (HPO) on the chosen recipe.
`SolutionVersion`	`withRecipeArn(String recipeArn)` The ARN of the recipe used in the solution.
`SolutionVersion`	`withSolutionArn(String solutionArn)` The ARN of the solution.
`SolutionVersion`	`withSolutionConfig(SolutionConfig solutionConfig)` Describes the configuration properties for the solution.
`SolutionVersion`	`withSolutionVersionArn(String solutionVersionArn)` The ARN of the solution version.
`SolutionVersion`	`withStatus(String status)` The status of the solution version.
`SolutionVersion`	`withTrainingHours(Double trainingHours)` The time used to train the model.
`SolutionVersion`	`withTrainingMode(String trainingMode)` The scope of training to be performed when creating the solution version.
`SolutionVersion`	`withTrainingMode(TrainingMode trainingMode)` The scope of training to be performed when creating the solution version.
`SolutionVersion`	`withTunedHPOParams(TunedHPOParams tunedHPOParams)` If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - SolutionVersion
```
public SolutionVersion()
```
- Method Detail
  - setSolutionVersionArn
```
public void setSolutionVersionArn(String solutionVersionArn)
```
    The ARN of the solution version.
    
    Parameters:
    
    solutionVersionArn - The ARN of the solution version.
  - getSolutionVersionArn
```
public String getSolutionVersionArn()
```
    The ARN of the solution version.
    
    Returns:
    
    The ARN of the solution version.
  - withSolutionVersionArn
```
public SolutionVersion withSolutionVersionArn(String solutionVersionArn)
```
    The ARN of the solution version.
    
    Parameters:
    
    solutionVersionArn - The ARN 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 ARN of the solution.
    
    Parameters:
    
    solutionArn - The ARN of the solution.
  - getSolutionArn
```
public String getSolutionArn()
```
    The ARN of the solution.
    
    Returns:
    
    The ARN of the solution.
  - withSolutionArn
```
public SolutionVersion withSolutionArn(String solutionArn)
```
    The ARN of the solution.
    
    Parameters:
    
    solutionArn - The ARN of the solution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setPerformHPO
```
public void setPerformHPO(Boolean performHPO)
```
    Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
    
    Parameters:
    
    performHPO - Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
  - getPerformHPO
```
public Boolean getPerformHPO()
```
    Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
    
    Returns:
    
    Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
  - withPerformHPO
```
public SolutionVersion withPerformHPO(Boolean performHPO)
```
    Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
    
    Parameters:
    
    performHPO - Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isPerformHPO
```
public Boolean isPerformHPO()
```
    Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
    
    Returns:
    
    Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
  - setPerformAutoML
```
public void setPerformAutoML(Boolean performAutoML)
```
    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
    
    Parameters:
    
    performAutoML - When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
  - getPerformAutoML
```
public Boolean getPerformAutoML()
```
    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
    
    Returns:
    
    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
  - withPerformAutoML
```
public SolutionVersion withPerformAutoML(Boolean performAutoML)
```
    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
    
    Parameters:
    
    performAutoML - When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isPerformAutoML
```
public Boolean isPerformAutoML()
```
    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
    
    Returns:
    
    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
  - setRecipeArn
```
public void setRecipeArn(String recipeArn)
```
    The ARN of the recipe used in the solution.
    
    Parameters:
    
    recipeArn - The ARN of the recipe used in the solution.
  - getRecipeArn
```
public String getRecipeArn()
```
    The ARN of the recipe used in the solution.
    
    Returns:
    
    The ARN of the recipe used in the solution.
  - withRecipeArn
```
public SolutionVersion withRecipeArn(String recipeArn)
```
    The ARN of the recipe used in the solution.
    
    Parameters:
    
    recipeArn - The ARN of the recipe used in the solution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEventType
```
public void setEventType(String eventType)
```
    The event type (for example, 'click' or 'like') that is used for training the model.
    
    Parameters:
    
    eventType - The event type (for example, 'click' or 'like') that is used for training the model.
  - getEventType
```
public String getEventType()
```
    The event type (for example, 'click' or 'like') that is used for training the model.
    
    Returns:
    
    The event type (for example, 'click' or 'like') that is used for training the model.
  - withEventType
```
public SolutionVersion withEventType(String eventType)
```
    The event type (for example, 'click' or 'like') that is used for training the model.
    
    Parameters:
    
    eventType - The event type (for example, 'click' or 'like') that is used for training the model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDatasetGroupArn
```
public void setDatasetGroupArn(String datasetGroupArn)
```
    The Amazon Resource Name (ARN) of the dataset group providing the training data.
    
    Parameters:
    
    datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group providing the training data.
  - getDatasetGroupArn
```
public String getDatasetGroupArn()
```
    The Amazon Resource Name (ARN) of the dataset group providing the training data.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the dataset group providing the training data.
  - withDatasetGroupArn
```
public SolutionVersion withDatasetGroupArn(String datasetGroupArn)
```
    The Amazon Resource Name (ARN) of the dataset group providing the training data.
    
    Parameters:
    
    datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group providing the training data.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSolutionConfig
```
public void setSolutionConfig(SolutionConfig solutionConfig)
```
    Describes the configuration properties for the solution.
    
    Parameters:
    
    solutionConfig - Describes the configuration properties for the solution.
  - getSolutionConfig
```
public SolutionConfig getSolutionConfig()
```
    Describes the configuration properties for the solution.
    
    Returns:
    
    Describes the configuration properties for the solution.
  - withSolutionConfig
```
public SolutionVersion withSolutionConfig(SolutionConfig solutionConfig)
```
    Describes the configuration properties for the solution.
    
    Parameters:
    
    solutionConfig - Describes the configuration properties for the solution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrainingHours
```
public void setTrainingHours(Double trainingHours)
```
    The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
    
    Parameters:
    
    trainingHours - The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
  - getTrainingHours
```
public Double getTrainingHours()
```
    The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
    
    Returns:
    
    The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
  - withTrainingHours
```
public SolutionVersion withTrainingHours(Double trainingHours)
```
    The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
    
    Parameters:
    
    trainingHours - The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
    
    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 FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    Parameters:
    
    trainingMode - The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    See Also:
    
    TrainingMode
  - getTrainingMode
```
public String getTrainingMode()
```
    The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    Returns:
    
    The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    See Also:
    
    TrainingMode
  - withTrainingMode
```
public SolutionVersion withTrainingMode(String trainingMode)
```
    The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    Parameters:
    
    trainingMode - The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TrainingMode
  - withTrainingMode
```
public SolutionVersion withTrainingMode(TrainingMode trainingMode)
```
    The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    Parameters:
    
    trainingMode - The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
    
    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 HRNN-Coldstart recipe.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TrainingMode
  - setTunedHPOParams
```
public void setTunedHPOParams(TunedHPOParams tunedHPOParams)
```
    If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
    
    Parameters:
    
    tunedHPOParams - If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
  - getTunedHPOParams
```
public TunedHPOParams getTunedHPOParams()
```
    If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
    
    Returns:
    
    If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
  - withTunedHPOParams
```
public SolutionVersion withTunedHPOParams(TunedHPOParams tunedHPOParams)
```
    If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
    
    Parameters:
    
    tunedHPOParams - If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
    
    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 solution version.
    
    A solution version can be in one of the following states:
    - CREATE PENDING
    - CREATE IN_PROGRESS
    - ACTIVE
    - CREATE FAILED
    - CREATE STOPPING
    - CREATE STOPPED
    Parameters:
    status - The status of the solution version.
    
    A solution version can be in one of the following states:
    
    CREATE PENDING
    
    CREATE IN_PROGRESS
    
    ACTIVE
    
    CREATE FAILED
    
    CREATE STOPPING
    
    CREATE STOPPED
  - getStatus
```
public String getStatus()
```
    The status of the solution version.
    
    A solution version can be in one of the following states:
    - CREATE PENDING
    - CREATE IN_PROGRESS
    - ACTIVE
    - CREATE FAILED
    - CREATE STOPPING
    - CREATE STOPPED
    Returns:
    The status of the solution version.
    
    A solution version can be in one of the following states:
    
    CREATE PENDING
    
    CREATE IN_PROGRESS
    
    ACTIVE
    
    CREATE FAILED
    
    CREATE STOPPING
    
    CREATE STOPPED
  - withStatus
```
public SolutionVersion withStatus(String status)
```
    The status of the solution version.
    
    A solution version can be in one of the following states:
    - CREATE PENDING
    - CREATE IN_PROGRESS
    - ACTIVE
    - CREATE FAILED
    - CREATE STOPPING
    - CREATE STOPPED
    Parameters:
    status - The status of the solution version.
    
    A solution version can be in one of the following states:
    
    CREATE PENDING
    
    CREATE IN_PROGRESS
    
    ACTIVE
    
    CREATE FAILED
    
    CREATE STOPPING
    
    CREATE STOPPED
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setFailureReason
```
public void setFailureReason(String failureReason)
```
    If training a solution version fails, the reason for the failure.
    
    Parameters:
    
    failureReason - If training a solution version fails, the reason for the failure.
  - getFailureReason
```
public String getFailureReason()
```
    If training a solution version fails, the reason for the failure.
    
    Returns:
    
    If training a solution version fails, the reason for the failure.
  - withFailureReason
```
public SolutionVersion withFailureReason(String failureReason)
```
    If training a solution version fails, the reason for the failure.
    
    Parameters:
    
    failureReason - If training a solution version fails, the reason for the failure.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreationDateTime
```
public void setCreationDateTime(Date creationDateTime)
```
    The date and time (in Unix time) that this version of the solution was created.
    
    Parameters:
    
    creationDateTime - The date and time (in Unix time) that this version of the solution was created.
  - getCreationDateTime
```
public Date getCreationDateTime()
```
    The date and time (in Unix time) that this version of the solution was created.
    
    Returns:
    
    The date and time (in Unix time) that this version of the solution was created.
  - withCreationDateTime
```
public SolutionVersion withCreationDateTime(Date creationDateTime)
```
    The date and time (in Unix time) that this version of the solution was created.
    
    Parameters:
    
    creationDateTime - The date and time (in Unix time) that this version of the solution was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastUpdatedDateTime
```
public void setLastUpdatedDateTime(Date lastUpdatedDateTime)
```
    The date and time (in Unix time) that the solution was last updated.
    
    Parameters:
    
    lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.
  - getLastUpdatedDateTime
```
public Date getLastUpdatedDateTime()
```
    The date and time (in Unix time) that the solution was last updated.
    
    Returns:
    
    The date and time (in Unix time) that the solution was last updated.
  - withLastUpdatedDateTime
```
public SolutionVersion withLastUpdatedDateTime(Date lastUpdatedDateTime)
```
    The date and time (in Unix time) that the solution was last updated.
    
    Parameters:
    
    lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.
    
    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 SolutionVersion clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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Class SolutionVersion

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

SolutionVersion

Method Detail

setSolutionVersionArn

getSolutionVersionArn

withSolutionVersionArn

setSolutionArn

getSolutionArn

withSolutionArn

setPerformHPO

getPerformHPO

withPerformHPO

isPerformHPO

setPerformAutoML

getPerformAutoML

withPerformAutoML

isPerformAutoML

setRecipeArn

getRecipeArn

withRecipeArn

setEventType

getEventType

withEventType

setDatasetGroupArn

getDatasetGroupArn

withDatasetGroupArn

setSolutionConfig

getSolutionConfig

withSolutionConfig

setTrainingHours

getTrainingHours

withTrainingHours

setTrainingMode

getTrainingMode

withTrainingMode

withTrainingMode

setTunedHPOParams

getTunedHPOParams

withTunedHPOParams

setStatus

getStatus

withStatus

setFailureReason

getFailureReason

withFailureReason

setCreationDateTime

getCreationDateTime

withCreationDateTime

setLastUpdatedDateTime

getLastUpdatedDateTime

withLastUpdatedDateTime

toString

equals

hashCode

clone

marshall