SolutionConfig (AWS SDK for Java

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

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class SolutionConfig
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Describes the configuration properties for the solution.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

SolutionConfig()

Constructors
Constructor and Description
`SolutionConfig()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`SolutionConfig`	`addAlgorithmHyperParametersEntry(String key, String value)` Add a single AlgorithmHyperParameters entry
`SolutionConfig`	`addFeatureTransformationParametersEntry(String key, String value)` Add a single FeatureTransformationParameters entry
`SolutionConfig`	`clearAlgorithmHyperParametersEntries()` Removes all the entries added into AlgorithmHyperParameters.
`SolutionConfig`	`clearFeatureTransformationParametersEntries()` Removes all the entries added into FeatureTransformationParameters.
`SolutionConfig`	`clone()`
`boolean`	`equals(Object obj)`
`Map<String,String>`	`getAlgorithmHyperParameters()` Lists the hyperparameter names and ranges.
`AutoMLConfig`	`getAutoMLConfig()` The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
`String`	`getEventValueThreshold()` Only events with a value greater than or equal to this threshold are used for training a model.
`Map<String,String>`	`getFeatureTransformationParameters()` Lists the feature transformation parameters.
`HPOConfig`	`getHpoConfig()` Describes the properties for hyperparameter optimization (HPO).
`OptimizationObjective`	`getOptimizationObjective()` Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue.
`TrainingDataConfig`	`getTrainingDataConfig()` Specifies the training data configuration to use when creating a custom solution version (trained model).
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setAlgorithmHyperParameters(Map<String,String> algorithmHyperParameters)` Lists the hyperparameter names and ranges.
`void`	`setAutoMLConfig(AutoMLConfig autoMLConfig)` The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
`void`	`setEventValueThreshold(String eventValueThreshold)` Only events with a value greater than or equal to this threshold are used for training a model.
`void`	`setFeatureTransformationParameters(Map<String,String> featureTransformationParameters)` Lists the feature transformation parameters.
`void`	`setHpoConfig(HPOConfig hpoConfig)` Describes the properties for hyperparameter optimization (HPO).
`void`	`setOptimizationObjective(OptimizationObjective optimizationObjective)` Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue.
`void`	`setTrainingDataConfig(TrainingDataConfig trainingDataConfig)` Specifies the training data configuration to use when creating a custom solution version (trained model).
`String`	`toString()` Returns a string representation of this object.
`SolutionConfig`	`withAlgorithmHyperParameters(Map<String,String> algorithmHyperParameters)` Lists the hyperparameter names and ranges.
`SolutionConfig`	`withAutoMLConfig(AutoMLConfig autoMLConfig)` The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
`SolutionConfig`	`withEventValueThreshold(String eventValueThreshold)` Only events with a value greater than or equal to this threshold are used for training a model.
`SolutionConfig`	`withFeatureTransformationParameters(Map<String,String> featureTransformationParameters)` Lists the feature transformation parameters.
`SolutionConfig`	`withHpoConfig(HPOConfig hpoConfig)` Describes the properties for hyperparameter optimization (HPO).
`SolutionConfig`	`withOptimizationObjective(OptimizationObjective optimizationObjective)` Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue.
`SolutionConfig`	`withTrainingDataConfig(TrainingDataConfig trainingDataConfig)` Specifies the training data configuration to use when creating a custom solution version (trained model).

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

- Constructor Detail
  - SolutionConfig
```
public SolutionConfig()
```
- Method Detail
  - setEventValueThreshold
```
public void setEventValueThreshold(String eventValueThreshold)
```
    Only events with a value greater than or equal to this threshold are used for training a model.
    
    Parameters:
    
    eventValueThreshold - Only events with a value greater than or equal to this threshold are used for training a model.
  - getEventValueThreshold
```
public String getEventValueThreshold()
```
    Only events with a value greater than or equal to this threshold are used for training a model.
    
    Returns:
    
    Only events with a value greater than or equal to this threshold are used for training a model.
  - withEventValueThreshold
```
public SolutionConfig withEventValueThreshold(String eventValueThreshold)
```
    Only events with a value greater than or equal to this threshold are used for training a model.
    
    Parameters:
    
    eventValueThreshold - Only events with a value greater than or equal to this threshold are used for training a model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setHpoConfig
```
public void setHpoConfig(HPOConfig hpoConfig)
```
    Describes the properties for hyperparameter optimization (HPO).
    
    Parameters:
    
    hpoConfig - Describes the properties for hyperparameter optimization (HPO).
  - getHpoConfig
```
public HPOConfig getHpoConfig()
```
    Describes the properties for hyperparameter optimization (HPO).
    
    Returns:
    
    Describes the properties for hyperparameter optimization (HPO).
  - withHpoConfig
```
public SolutionConfig withHpoConfig(HPOConfig hpoConfig)
```
    Describes the properties for hyperparameter optimization (HPO).
    
    Parameters:
    
    hpoConfig - Describes the properties for hyperparameter optimization (HPO).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getAlgorithmHyperParameters
```
public Map<String,String> getAlgorithmHyperParameters()
```
    Lists the hyperparameter names and ranges.
    
    Returns:
    
    Lists the hyperparameter names and ranges.
  - setAlgorithmHyperParameters
```
public void setAlgorithmHyperParameters(Map<String,String> algorithmHyperParameters)
```
    Lists the hyperparameter names and ranges.
    
    Parameters:
    
    algorithmHyperParameters - Lists the hyperparameter names and ranges.
  - withAlgorithmHyperParameters
```
public SolutionConfig withAlgorithmHyperParameters(Map<String,String> algorithmHyperParameters)
```
    Lists the hyperparameter names and ranges.
    
    Parameters:
    
    algorithmHyperParameters - Lists the hyperparameter names and ranges.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addAlgorithmHyperParametersEntry
```
public SolutionConfig addAlgorithmHyperParametersEntry(String key,
                                                       String value)
```
    Add a single AlgorithmHyperParameters entry
    
    See Also:
    
    withAlgorithmHyperParameters(java.util.Map<java.lang.String, java.lang.String>)
  - clearAlgorithmHyperParametersEntries
```
public SolutionConfig clearAlgorithmHyperParametersEntries()
```
    Removes all the entries added into AlgorithmHyperParameters.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getFeatureTransformationParameters
```
public Map<String,String> getFeatureTransformationParameters()
```
    Lists the feature transformation parameters.
    
    Returns:
    
    Lists the feature transformation parameters.
  - setFeatureTransformationParameters
```
public void setFeatureTransformationParameters(Map<String,String> featureTransformationParameters)
```
    Lists the feature transformation parameters.
    
    Parameters:
    
    featureTransformationParameters - Lists the feature transformation parameters.
  - withFeatureTransformationParameters
```
public SolutionConfig withFeatureTransformationParameters(Map<String,String> featureTransformationParameters)
```
    Lists the feature transformation parameters.
    
    Parameters:
    
    featureTransformationParameters - Lists the feature transformation parameters.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addFeatureTransformationParametersEntry
```
public SolutionConfig addFeatureTransformationParametersEntry(String key,
                                                              String value)
```
    Add a single FeatureTransformationParameters entry
    
    See Also:
    
    withFeatureTransformationParameters(java.util.Map<java.lang.String, java.lang.String>)
  - clearFeatureTransformationParametersEntries
```
public SolutionConfig clearFeatureTransformationParametersEntries()
```
    Removes all the entries added into FeatureTransformationParameters.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoMLConfig
```
public void setAutoMLConfig(AutoMLConfig autoMLConfig)
```
    The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
    
    Parameters:
    
    autoMLConfig - The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
  - getAutoMLConfig
```
public AutoMLConfig getAutoMLConfig()
```
    The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
    
    Returns:
    
    The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
  - withAutoMLConfig
```
public SolutionConfig withAutoMLConfig(AutoMLConfig autoMLConfig)
```
    The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
    
    Parameters:
    
    autoMLConfig - The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setOptimizationObjective
```
public void setOptimizationObjective(OptimizationObjective optimizationObjective)
```
    Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
    
    Parameters:
    
    optimizationObjective - Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
  - getOptimizationObjective
```
public OptimizationObjective getOptimizationObjective()
```
    Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
    
    Returns:
    
    Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
  - withOptimizationObjective
```
public SolutionConfig withOptimizationObjective(OptimizationObjective optimizationObjective)
```
    Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
    
    Parameters:
    
    optimizationObjective - Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrainingDataConfig
```
public void setTrainingDataConfig(TrainingDataConfig trainingDataConfig)
```
    Specifies the training data configuration to use when creating a custom solution version (trained model).
    
    Parameters:
    
    trainingDataConfig - Specifies the training data configuration to use when creating a custom solution version (trained model).
  - getTrainingDataConfig
```
public TrainingDataConfig getTrainingDataConfig()
```
    Specifies the training data configuration to use when creating a custom solution version (trained model).
    
    Returns:
    
    Specifies the training data configuration to use when creating a custom solution version (trained model).
  - withTrainingDataConfig
```
public SolutionConfig withTrainingDataConfig(TrainingDataConfig trainingDataConfig)
```
    Specifies the training data configuration to use when creating a custom solution version (trained model).
    
    Parameters:
    
    trainingDataConfig - Specifies the training data configuration to use when creating a custom solution version (trained 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 SolutionConfig 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.

AWS SDK for Java 1.x API Reference - 1.12.496

Class SolutionConfig

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

SolutionConfig

Method Detail

setEventValueThreshold

getEventValueThreshold

withEventValueThreshold

setHpoConfig

getHpoConfig

withHpoConfig

getAlgorithmHyperParameters

setAlgorithmHyperParameters

withAlgorithmHyperParameters

addAlgorithmHyperParametersEntry

clearAlgorithmHyperParametersEntries

getFeatureTransformationParameters

setFeatureTransformationParameters

withFeatureTransformationParameters

addFeatureTransformationParametersEntry

clearFeatureTransformationParametersEntries

setAutoMLConfig

getAutoMLConfig

withAutoMLConfig

setOptimizationObjective

getOptimizationObjective

withOptimizationObjective

setTrainingDataConfig

getTrainingDataConfig

withTrainingDataConfig

toString

equals

hashCode

clone

marshall