Package dk.alexandra.fresco.stat.regression.logistic

Class LogisticRegressionGD

Object

LogisticRegressionGD

All Implemented Interfaces:

Computation<ArrayList<DRes<SFixed>>,ProtocolBuilderNumeric>

public class LogisticRegressionGD
extends Object
implements Computation<ArrayList<DRes<SFixed>>,ProtocolBuilderNumeric>

A gradient descent algorithm to fit a logistic model to a dataset.

Constructor Summary

Constructors

Constructor	Description
LogisticRegressionGD(Matrix<DRes<SFixed>> data, List<DRes<SFixed>> expected, double rate, ArrayList<DRes<SFixed>> b)

Method Summary

Modifier and Type	Method	Description
DRes<ArrayList<DRes<SFixed>>>	buildComputation(ProtocolBuilderNumeric builder)

Methods inherited from class Object

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

Constructor Details

LogisticRegressionGD

public LogisticRegressionGD(Matrix<DRes<SFixed>> data, List<DRes<SFixed>> expected, double rate, ArrayList<DRes<SFixed>> b)

Method Details

buildComputation

public DRes<ArrayList<DRes<SFixed>>> buildComputation(ProtocolBuilderNumeric builder)

Specified by:

buildComputation in interface Computation<ArrayList<DRes<SFixed>>,ProtocolBuilderNumeric>