org.openimaj.ml.linear.data

Class BiconvexIncrementalDataGenerator

java.lang.Object

org.openimaj.ml.linear.data.BiconvexIncrementalDataGenerator

public class BiconvexIncrementalDataGenerator
extends Object

Constructor Summary

Constructors

Constructor and Description
BiconvexIncrementalDataGenerator(int nusers, int nfeatures, int ntasks, double sparcity, double xsparcity, boolean indw, boolean indu, int seed, double noise)

Method Summary

Modifier and Type	Method and Description
org.openimaj.util.pair.IndependentPair<Map<String,Map<String,Double>>,Map<String,Double>>	generate()

Methods inherited from class java.lang.Object

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

Constructor Detail

BiconvexIncrementalDataGenerator

public BiconvexIncrementalDataGenerator(int nusers,
                                        int nfeatures,
                                        int ntasks,
                                        double sparcity,
                                        double xsparcity,
                                        boolean indw,
                                        boolean indu,
                                        int seed,
                                        double noise)

Parameters:

nusers - The number of users (U is users x tasks, X is features x users)

nfeatures - The number of features (W is features x tasks)

ntasks - The number of tasks (Y is 1 x tasks)

sparcity - The chance that a row of U or W is zeros

xsparcity - The chance that a column of U or W is zeros

indw - If true, there is a column of W per task

indu - If true, there is a column of U per task

seed - If greater than or equal to zero, the rng backing this generator is seeded

noise - The random noise added to Y has random values for each Y ranging from -noise to noise

Method Detail

generate

public org.openimaj.util.pair.IndependentPair<Map<String,Map<String,Double>>,Map<String,Double>> generate()