gov.sandia.cognition.learning.function.regression

Class AbstractRegressor<InputType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.math.AbstractScalarFunction<InputType>

gov.sandia.cognition.learning.function.regression.AbstractRegressor<InputType>

Type Parameters:

InputType - The type of the input to the regressor.

All Implemented Interfaces:

Evaluator<InputType,java.lang.Double>, ScalarFunction<InputType>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

FactorizationMachine, LinearDiscriminant, LinearVectorScalarFunction, VectorFunctionLinearDiscriminant, VectorFunctionToScalarFunction

public abstract class AbstractRegressor<InputType>
extends AbstractScalarFunction<InputType>

An abstract implementation of the Regressor interface.

Since:

3.3.3

Author:

Justin Basilico

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractRegressor() Creates a new AbstractRegressor.

Method Summary

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface gov.sandia.cognition.math.ScalarFunction

evaluate, evaluateAsDouble

Constructor Detail

AbstractRegressor

public AbstractRegressor()

Creates a new AbstractRegressor.