Package org.encog.ml.bayesian.table

Source Code of org.encog.ml.bayesian.table.BayesianTable

/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, 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.
*  
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.bayesian.table;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;

import org.encog.Encog;
import org.encog.ml.bayesian.BayesianError;
import org.encog.ml.bayesian.BayesianEvent;
import org.encog.ml.bayesian.query.enumerate.EnumerationQuery;

/**
* Holds a Bayesian truth table.
*/
public class BayesianTable implements Serializable {
 
  /**
   * The event that owns this truth table.
   */
  private final BayesianEvent event;
 
  /**
   * The lines of the truth table.
   */
  private final List<TableLine> lines = new ArrayList<TableLine>();

  public BayesianTable(BayesianEvent theEvent) {
    this.event = theEvent;
    reset();
  }

  /**
   * Reset the truth table to zero.
   */
  public void reset() {
    this.lines.clear();
    List<BayesianEvent> parents = this.event.getParents();
    int l = parents.size();

    int[] args = new int[l];

    do {
      for (int k = 0; k < event.getChoices().size(); k++) {
        addLine(0, k, args);
      }
    } while (EnumerationQuery.roll(parents, args));
  }

  /**
   * Add a new line.
   * @param prob The probability.
   * @param result The resulting probability.
   * @param args The arguments.
   */
  public void addLine(double prob, boolean result, boolean... args) {
    int[] d = new int[args.length];
    for (int i = 0; i < args.length; i++) {
      d[i] = args[i] ? 0 : 1;
    }

    addLine(prob, result ? 0 : 1, d);
    addLine(1.0 - prob, result ? 1 : 0, d);
  }

  /**
   * Add a new line.
   * @param prob The probability.
   * @param result The resulting probability.
   * @param args The arguments.
   */
  public void addLine(double prob, int result, boolean... args) {
    int[] d = new int[args.length];
    for (int i = 0; i < args.length; i++) {
      d[i] = args[i] ? 0 : 1;
    }

    addLine(prob, result, d);
  }

  /**
   * Add a new line.
   * @param prob The probability.
   * @param result The resulting probability.
   * @param args The arguments.
   */
  public void addLine(double prob, int result, int... args) {
    if (args.length != this.event.getParents().size()) {
      throw new BayesianError("Truth table line with " + args.length
          + ", specied for event with "
          + this.event.getParents().size()
          + " parents.  These numbers must be the same");
    }

    TableLine line = findLine(result, args);

    if (line == null) {
      if (this.lines.size() == this.getMaxLines()) {
        throw new BayesianError("This truth table is already full.");
      }

      line = new TableLine(prob, result, args);
      this.lines.add(line);
    } else {
      line.setProbability(prob);
    }
  }

  /**
   * Validate the truth table.
   */
  public void validate() {
    if (this.lines.size() != this.getMaxLines()) {
      throw new BayesianError("Truth table for " + this.event.toString()
          + " only has " + this.lines
          + " line(s), should have " + this.getMaxLines()
          + " line(s).");
    }

  }

  /**
   * Generate a random sampling based on this truth table.
   * @param args The arguemtns.
   * @return The result.
   */
  public int generateRandom(int... args) {
    double r = Math.random();
    double limit = 0;

    for (TableLine line : this.lines) {
      if (line != null && line.compareArgs(args)) {
        limit += line.getProbability();
        if (r < limit) {
          return line.getResult();
        }
      }
    }

    throw new BayesianError("Incomplete logic table for event: "
        + this.event.toString());
  }

  /**
   * {@inheritDoc}
   */
  public String toString() {
    StringBuilder result = new StringBuilder();
    for (TableLine line : this.lines) {
      result.append(line.toString());
      result.append("\n");
    }
    return result.toString();
  }

  /**
   * @return The lines of this truth table.
   */
  public List<TableLine> getLines() {
    return this.lines;
  }

  /**
   * Find the specified truth table line.
   * @param result The result sought.
   * @param args The arguments.
   * @return The line that matches.
   */
  public TableLine findLine(int result, int[] args) {

    for (TableLine line : this.lines) {
      if (line != null && line.compareArgs(args)) {
        if (Math.abs(line.getResult() - result) < Encog.DEFAULT_DOUBLE_EQUAL) {
          return line;
        }
      }
    }

    return null;
  }
 
  /**
   * @return The maximum number of lines this truth table would have.
   */
  public int getMaxLines() {
    return event.calculateParameterCount() * event.getChoices().size();
  }
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