com.amazonaws.services.frauddetector.model

Class TrainingDataSchema

java.lang.Object

com.amazonaws.services.frauddetector.model.TrainingDataSchema

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

The training data schema.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
TrainingDataSchema()

Method Summary

Modifier and Type	Method and Description
TrainingDataSchema	clone()
boolean	equals(Object obj)
LabelSchema	getLabelSchema()
List<String>	getModelVariables() The training data schema variables.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setLabelSchema(LabelSchema labelSchema)
void	setModelVariables(Collection<String> modelVariables) The training data schema variables.
String	toString() Returns a string representation of this object.
TrainingDataSchema	withLabelSchema(LabelSchema labelSchema)
TrainingDataSchema	withModelVariables(Collection<String> modelVariables) The training data schema variables.
TrainingDataSchema	withModelVariables(String... modelVariables) The training data schema variables.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

TrainingDataSchema

public TrainingDataSchema()

Method Detail

getModelVariables

public List<String> getModelVariables()

The training data schema variables.

Returns:

The training data schema variables.

setModelVariables

public void setModelVariables(Collection<String> modelVariables)

The training data schema variables.

Parameters:

modelVariables - The training data schema variables.

withModelVariables

public TrainingDataSchema withModelVariables(String... modelVariables)

The training data schema variables.

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

Parameters:

modelVariables - The training data schema variables.

Returns:

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

withModelVariables

public TrainingDataSchema withModelVariables(Collection<String> modelVariables)

The training data schema variables.

Parameters:

modelVariables - The training data schema variables.

Returns:

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

setLabelSchema

public void setLabelSchema(LabelSchema labelSchema)

Parameters:

labelSchema -

getLabelSchema

public LabelSchema getLabelSchema()

Returns:

withLabelSchema

public TrainingDataSchema withLabelSchema(LabelSchema labelSchema)

Parameters:

labelSchema -

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 TrainingDataSchema 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.