com.amazonaws.services.personalize.model

Class AutoMLConfig

java.lang.Object

com.amazonaws.services.personalize.model.AutoMLConfig

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
AutoMLConfig()

Method Summary

Modifier and Type	Method and Description
AutoMLConfig	clone()
boolean	equals(Object obj)
String	getMetricName() The metric to optimize.
List<String>	getRecipeList() The list of candidate recipes.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setMetricName(String metricName) The metric to optimize.
void	setRecipeList(Collection<String> recipeList) The list of candidate recipes.
String	toString() Returns a string representation of this object.
AutoMLConfig	withMetricName(String metricName) The metric to optimize.
AutoMLConfig	withRecipeList(Collection<String> recipeList) The list of candidate recipes.
AutoMLConfig	withRecipeList(String... recipeList) The list of candidate recipes.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AutoMLConfig

public AutoMLConfig()

Method Detail

setMetricName

public void setMetricName(String metricName)

The metric to optimize.

Parameters:

metricName - The metric to optimize.

getMetricName

public String getMetricName()

The metric to optimize.

Returns:

The metric to optimize.

withMetricName

public AutoMLConfig withMetricName(String metricName)

The metric to optimize.

Parameters:

metricName - The metric to optimize.

Returns:

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

getRecipeList

public List<String> getRecipeList()

The list of candidate recipes.

Returns:

The list of candidate recipes.

setRecipeList

public void setRecipeList(Collection<String> recipeList)

The list of candidate recipes.

Parameters:

recipeList - The list of candidate recipes.

withRecipeList

public AutoMLConfig withRecipeList(String... recipeList)

The list of candidate recipes.

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

Parameters:

recipeList - The list of candidate recipes.

Returns:

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

withRecipeList

public AutoMLConfig withRecipeList(Collection<String> recipeList)

The list of candidate recipes.

Parameters:

recipeList - The list of candidate recipes.

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 AutoMLConfig 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.