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Chance-core: initial continuous distribution support. Gaussian PoC
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@@ -38,8 +38,6 @@ | |
| public class Chance { | ||
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| public static void initialize() { | ||
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| ChanceStrategyFactory.initDefaults(); | ||
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103 changes: 103 additions & 0 deletions
103
...c/main/java/org/drools/chance/distribution/probability/gaussian/GaussianDistribution.java
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| @@ -0,0 +1,103 @@ | ||
| package org.drools.chance.distribution.probability.gaussian; | ||
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| import org.drools.chance.degree.Degree; | ||
| import org.drools.chance.distribution.ContinuousProbabilityDistribution; | ||
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| import java.util.Collection; | ||
| import java.util.Collections; | ||
| import java.util.Iterator; | ||
| import java.util.Set; | ||
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| public class GaussianDistribution<T extends Number> implements ContinuousProbabilityDistribution<T> { | ||
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| private Degree falze; | ||
| private Double mu; | ||
| private Double sigma; | ||
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| public GaussianDistribution( Double mean, Double stdev, Degree f ) { | ||
| mu = mean; | ||
| sigma = stdev; | ||
| falze = f; | ||
| } | ||
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| public Double getMu() { | ||
| return mu; | ||
| } | ||
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| public void setMu( Double mu ) { | ||
| this.mu = mu; | ||
| } | ||
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| public Double getSigma() { | ||
| return sigma; | ||
| } | ||
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| public void setSigma( Double sigma ) { | ||
| this.sigma = sigma; | ||
| } | ||
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| public Set<T> getSupport() { | ||
| return new RealNumberSet(); | ||
| } | ||
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| public Degree getDegree( T value ) { | ||
| return falze; | ||
| } | ||
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| public Degree get( T object ) { | ||
| return falze; | ||
| } | ||
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| public Number domainSize() { | ||
| return Double.POSITIVE_INFINITY; | ||
| } | ||
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| public boolean isDiscrete() { | ||
| return false; | ||
| } | ||
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| public boolean isNormalized() { | ||
| return true; | ||
| } | ||
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| public void setNormalized( boolean normalized ) { | ||
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| } | ||
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| public int size() { | ||
| return Integer.MAX_VALUE; | ||
| } | ||
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| public Iterator<T> iterator() { | ||
| return Collections.EMPTY_SET.iterator(); | ||
| } | ||
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| public Degree getCumulative( T object ) { | ||
| double d = object.doubleValue(); | ||
| return falze.fromConst( Phi( d, mu, sigma ) ); | ||
| } | ||
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| public static double phi( double x ) { | ||
| return Math.exp( -x * x / 2 ) / Math.sqrt( 2 * Math.PI ); | ||
| } | ||
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| public static double Phi( double x ) { | ||
| if ( x < -8.0 ) { | ||
| return 0.0; | ||
| } | ||
| if ( x > 8.0 ) { | ||
| return 1.0; | ||
| } | ||
| double sum = 0.0; | ||
| double term = x; | ||
| for ( int i = 3; sum + term != sum; i += 2 ) { | ||
| sum = sum + term; | ||
| term = term * x * x / i; | ||
| } | ||
| return 0.5 + sum * phi( x ); | ||
| } | ||
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| public static double Phi( double x, double mu, double sigma ) { | ||
| return Phi( ( x - mu ) / sigma ); | ||
| } | ||
| } |
182 changes: 182 additions & 0 deletions
182
...ava/org/drools/chance/distribution/probability/gaussian/GaussianDistributionStrategy.java
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| /* | ||
| * Copyright 2011 JBoss Inc | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.drools.chance.distribution.probability.gaussian; | ||
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| import org.drools.chance.degree.ChanceDegreeTypeRegistry; | ||
| import org.drools.chance.degree.Degree; | ||
| import org.drools.chance.degree.DegreeType; | ||
| import org.drools.chance.degree.simple.SimpleDegree; | ||
| import org.drools.chance.distribution.DiscreteProbabilityDistribution; | ||
| import org.drools.chance.distribution.Distribution; | ||
| import org.drools.chance.distribution.DistributionStrategies; | ||
| import org.drools.chance.distribution.probability.discrete.DiscreteDistribution; | ||
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| import java.lang.reflect.Constructor; | ||
| import java.lang.reflect.InvocationTargetException; | ||
| import java.util.Arrays; | ||
| import java.util.Collection; | ||
| import java.util.HashMap; | ||
| import java.util.Iterator; | ||
| import java.util.Map; | ||
| import java.util.Set; | ||
| import java.util.StringTokenizer; | ||
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| /** | ||
| * Strategy and level III factory for discrete probability distributions | ||
| */ | ||
| public class GaussianDistributionStrategy implements DistributionStrategies<Double> { | ||
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| private DegreeType degreeType; | ||
| private Class<Double> domainType; | ||
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| private Constructor degreeStringConstr = null; | ||
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| GaussianDistributionStrategy( DegreeType degreeType, Class<Double> domainType ){ | ||
| this.degreeType = degreeType; | ||
| this.domainType = domainType; | ||
| } | ||
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| private Constructor getDegreeStringConstructor() { | ||
| if (degreeStringConstr == null) { | ||
| degreeStringConstr = ChanceDegreeTypeRegistry.getSingleInstance().getConstructorByString(degreeType); | ||
| } | ||
| return degreeStringConstr; | ||
| } | ||
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| public Distribution<Double> toDistribution( Double value ) { | ||
| return new GaussianDistribution( value.doubleValue(), 1.0, ChanceDegreeTypeRegistry.getSingleInstance().buildDegree( degreeType, 0.0 ) ); | ||
| } | ||
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| public Distribution<Double> toDistribution( Double value, String strategy ) { | ||
| return new GaussianDistribution( value.doubleValue(), 1.0, ChanceDegreeTypeRegistry.getSingleInstance().buildDegree( degreeType, 0.0 ) ); | ||
| } | ||
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| public Distribution<Double> toDistribution( Double value, Object... params ) { | ||
| return new GaussianDistribution( value.doubleValue(), | ||
| Double.valueOf( params[ 0 ].toString() ), | ||
| ChanceDegreeTypeRegistry.getSingleInstance().buildDegree( degreeType, 0.0 ) ); | ||
| } | ||
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| public Distribution<Double> parse( String distrAsString ) { | ||
| if ( distrAsString.startsWith( "N" ) ) { | ||
| StringTokenizer tok = new StringTokenizer( distrAsString.substring( 1 ), "(,) " ); | ||
| return new GaussianDistribution( tok.hasMoreTokens() ? Double.valueOf( tok.nextToken() ) : 0.0, | ||
| tok.hasMoreTokens() ? Double.valueOf( tok.nextToken() ) : 1.0, | ||
| ChanceDegreeTypeRegistry.getSingleInstance().buildDegree( degreeType, 0.0 ) ); | ||
| } else { | ||
| return newDistribution(); | ||
| } | ||
| } | ||
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| public Distribution<Double> newDistribution() { | ||
| return new GaussianDistribution( 0.0, 1.0, ChanceDegreeTypeRegistry.getSingleInstance().buildDegree( degreeType, 0.0 ) ); | ||
| } | ||
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| public Distribution<Double> newDistribution( Set<Double> focalElements ) { | ||
| Iterator<Double> iter = focalElements.iterator(); | ||
| return new GaussianDistribution( iter.next().doubleValue(), iter.next().doubleValue(), ChanceDegreeTypeRegistry.getSingleInstance().buildDegree( degreeType, 0.0 ) ); | ||
| } | ||
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| public Distribution<Double> newDistribution( Map<? extends Double, ? extends Degree> elements ) { | ||
| throw new UnsupportedOperationException( "Build Gaussian with map " ); | ||
| } | ||
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| public Double toCrispValue( Distribution<Double> dist ) { | ||
| return ((GaussianDistribution) dist).getMu(); | ||
| } | ||
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| public Double toCrispValue( Distribution<Double> dist, String strategy ) { | ||
| return ((GaussianDistribution) dist).getMu(); | ||
| } | ||
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| public Double toCrispValue( Distribution<Double> dist, Object... params ) { | ||
| return ((GaussianDistribution) dist).getMu(); | ||
| } | ||
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| public Double sample( Distribution<Double> dist ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Double sample( Distribution<Double> dist, String strategy ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Double sample( Distribution<Double> dist, Object... params ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> merge( Distribution<Double> current, Distribution<Double> newBit ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> merge( Distribution<Double> current, Distribution<Double> newBit, String strategy ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> merge( Distribution<Double> current, Distribution<Double> newBit, Object... params ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> mergeAsNew( Distribution<Double> current, Distribution<Double> newBit ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> mergeAsNew( Distribution<Double> current, Distribution<Double> newBit, String strategy ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> mergeAsNew( Distribution<Double> current, Distribution<Double> newBit, Object... params ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> remove( Distribution<Double> current, Distribution<Double> newBit ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> remove( Distribution<Double> current, Distribution<Double> newBit, String strategy ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> remove( Distribution<Double> current, Distribution<Double> newBit, Object... params ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> removeAsNew( Distribution<Double> current, Distribution<Double> newBit ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> removeAsNew( Distribution<Double> current, Distribution<Double> newBit, String strategy ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public Distribution<Double> removeAsNew( Distribution<Double> current, Distribution<Double> newBit, Object... params ) { | ||
| return null; //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
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| public void normalize( Distribution<Double> distr ) { | ||
| //To change body of implemented methods use File | Settings | File Templates. | ||
| } | ||
| } |
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