gov.sandia.cognition.learning.algorithm.regression

Class UnivariateLinearRegression

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.regression.UnivariateLinearRegression

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.lang.Double,java.lang.Double>>,LinearFunction>, SupervisedBatchLearner<java.lang.Double,java.lang.Double,LinearFunction>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

public class UnivariateLinearRegression
extends AbstractCloneableSerializable
implements SupervisedBatchLearner<java.lang.Double,java.lang.Double,LinearFunction>

An implementation of simple univariate linear regression. It fits a function of the form f(x) = mx + b to the given data. It supports learning from weighted examples.

Since:

3.3.3

Author:

Justin Basilico

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
UnivariateLinearRegression() Creates a new UnivariateLinearRegression.

Method Summary

Modifier and Type	Method and Description
LinearFunction	learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Double,java.lang.Double>> data) The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.

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.util.CloneableSerializable

clone

Constructor Detail

UnivariateLinearRegression

public UnivariateLinearRegression()

Creates a new UnivariateLinearRegression.

Method Detail

learn

public LinearFunction learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Double,java.lang.Double>> data)

Description copied from interface: BatchLearner

The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.

Specified by:

learn in interface BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.lang.Double,java.lang.Double>>,LinearFunction>

Parameters:

data - The data that the learning algorithm will use to create an object of ResultType.

Returns:

The object that is created based on the given data using the learning algorithm.