com.amazonaws.services.forecast.model

Class Featurization

java.lang.Object

com.amazonaws.services.forecast.model.Featurization

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see AttributeConfig.

Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.

For example:

{

"AttributeName": "demand",

FeaturizationPipeline [ {

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "avg", "backfill": "nan"}

} ]

}

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
Featurization()

Method Summary

Modifier and Type	Method and Description
Featurization	clone()
boolean	equals(Object obj)
String	getAttributeName() The name of the schema attribute that specifies the data field to be featurized.
List<FeaturizationMethod>	getFeaturizationPipeline() An array of one FeaturizationMethod object that specifies the feature transformation method.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setAttributeName(String attributeName) The name of the schema attribute that specifies the data field to be featurized.
void	setFeaturizationPipeline(Collection<FeaturizationMethod> featurizationPipeline) An array of one FeaturizationMethod object that specifies the feature transformation method.
String	toString() Returns a string representation of this object.
Featurization	withAttributeName(String attributeName) The name of the schema attribute that specifies the data field to be featurized.
Featurization	withFeaturizationPipeline(Collection<FeaturizationMethod> featurizationPipeline) An array of one FeaturizationMethod object that specifies the feature transformation method.
Featurization	withFeaturizationPipeline(FeaturizationMethod... featurizationPipeline) An array of one FeaturizationMethod object that specifies the feature transformation method.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Featurization

public Featurization()

Method Detail

setAttributeName

public void setAttributeName(String attributeName)

The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

Parameters:

attributeName - The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

getAttributeName

public String getAttributeName()

The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

Returns:

The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

withAttributeName

public Featurization withAttributeName(String attributeName)

The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

Parameters:

attributeName - The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value. For more information, see howitworks-missing-values.

Returns:

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

getFeaturizationPipeline

public List<FeaturizationMethod> getFeaturizationPipeline()

An array of one FeaturizationMethod object that specifies the feature transformation method.

Returns:

An array of one FeaturizationMethod object that specifies the feature transformation method.

setFeaturizationPipeline

public void setFeaturizationPipeline(Collection<FeaturizationMethod> featurizationPipeline)

An array of one FeaturizationMethod object that specifies the feature transformation method.

Parameters:

featurizationPipeline - An array of one FeaturizationMethod object that specifies the feature transformation method.

withFeaturizationPipeline

public Featurization withFeaturizationPipeline(FeaturizationMethod... featurizationPipeline)

An array of one FeaturizationMethod object that specifies the feature transformation method.

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

Parameters:

featurizationPipeline - An array of one FeaturizationMethod object that specifies the feature transformation method.

Returns:

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

withFeaturizationPipeline

public Featurization withFeaturizationPipeline(Collection<FeaturizationMethod> featurizationPipeline)

An array of one FeaturizationMethod object that specifies the feature transformation method.

Parameters:

featurizationPipeline - An array of one FeaturizationMethod object that specifies the feature transformation method.

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 Featurization 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.