/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.features.construction;
import java.util.List;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.generator.AbsoluteValueGenerator;
import com.rapidminer.generator.ExponentialFunctionGenerator;
import com.rapidminer.generator.FeatureGenerator;
import com.rapidminer.generator.FloorCeilGenerator;
import com.rapidminer.generator.MinMaxGenerator;
import com.rapidminer.generator.PowerGenerator;
import com.rapidminer.generator.SignumGenerator;
import com.rapidminer.generator.SquareRootGenerator;
import com.rapidminer.generator.TrigonometricFunctionGenerator;
import com.rapidminer.operator.IOObject;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.features.EquivalentAttributeRemoval;
import com.rapidminer.operator.features.PopulationOperator;
import com.rapidminer.operator.features.RemoveUselessAttributes;
import com.rapidminer.parameter.ParameterType;
import com.rapidminer.parameter.ParameterTypeBoolean;
import com.rapidminer.parameter.ParameterTypeDouble;
import com.rapidminer.parameter.ParameterTypeInt;
import com.rapidminer.parameter.ParameterTypeString;
/**
* <p>YAGGA is an acronym for Yet Another Generating Genetic Algorithm. Its
* approach to generating new attributes differs from the original one. The
* (generating) mutation can do one of the following things with different
* probabilities:</p>
* <ul>
* <li>Probability {@rapidminer.math p/4}: Add a newly generated attribute to the
* feature vector</li>
* <li>Probability {@rapidminer.math p/4}: Add a randomly chosen original attribute
* to the feature vector</li>
* <li>Probability {@rapidminer.math p/2}: Remove a randomly chosen attribute from
* the feature vector</li>
* </ul>
* <p>Thus it is guaranteed that the length of the feature vector can both grow and
* shrink. On average it will keep its original length, unless longer or shorter
* individuals prove to have a better fitness.</p>
*
* <p>In addition to the usual YAGGA operator, this operator allows more feature
* generators and provides several techniques for intron prevention. This leads to
* smaller example sets containing less redundant features.</p>
*
* <p>Since this operator does not contain algorithms to extract features from
* value series, it is restricted to example sets with only single attributes.
* For (automatic) feature extraction from values series the value series plugin
* for RapidMiner should be used.</p>
*
* <p>For more information please refer to</p>
* <p>Mierswa, Ingo (2007): <em>RobustGP: Intron-Free Multi-Objective Feature Construction</em> (to appear)</p>
*
* @author Ingo Mierswa
* @version $Id: YAGGA2.java,v 1.5 2008/05/09 19:22:54 ingomierswa Exp $
*/
public class YAGGA2 extends YAGGA {
/** The parameter name for "Generate square root values." */
public static final String PARAMETER_USE_SQUARE_ROOTS = "use_square_roots";
/** The parameter name for "Generate the power of one attribute and another." */
public static final String PARAMETER_USE_POWER_FUNCTIONS = "use_power_functions";
/** The parameter name for "Generate sinus." */
public static final String PARAMETER_USE_SIN = "use_sin";
/** The parameter name for "Generate cosinus." */
public static final String PARAMETER_USE_COS = "use_cos";
/** The parameter name for "Generate tangens." */
public static final String PARAMETER_USE_TAN = "use_tan";
/** The parameter name for "Generate arc tangens." */
public static final String PARAMETER_USE_ATAN = "use_atan";
/** The parameter name for "Generate exponential functions." */
public static final String PARAMETER_USE_EXP = "use_exp";
/** The parameter name for "Generate logarithmic functions." */
public static final String PARAMETER_USE_LOG = "use_log";
/** The parameter name for "Generate absolute values." */
public static final String PARAMETER_USE_ABSOLUTE_VALUES = "use_absolute_values";
/** The parameter name for "Generate minimum values." */
public static final String PARAMETER_USE_MIN = "use_min";
/** The parameter name for "Generate maximum values." */
public static final String PARAMETER_USE_MAX = "use_max";
/** The parameter name for "Generate signum values." */
public static final String PARAMETER_USE_SGN = "use_sgn";
/** The parameter name for "Generate floor, ceil, and rounded values." */
public static final String PARAMETER_USE_FLOOR_CEIL_FUNCTIONS = "use_floor_ceil_functions";
/** The parameter name for "Use restrictive generator selection (faster)." */
public static final String PARAMETER_RESTRICTIVE_SELECTION = "restrictive_selection";
/** The parameter name for "Remove useless attributes." */
public static final String PARAMETER_REMOVE_USELESS = "remove_useless";
/** The parameter name for "Remove equivalent attributes." */
public static final String PARAMETER_REMOVE_EQUIVALENT = "remove_equivalent";
/** The parameter name for "Check this number of samples to prove equivalency." */
public static final String PARAMETER_EQUIVALENCE_SAMPLES = "equivalence_samples";
/** The parameter name for "Consider two attributes equivalent if their difference is not bigger than epsilon." */
public static final String PARAMETER_EQUIVALENCE_EPSILON = "equivalence_epsilon";
/** The parameter name for "Recalculates attribute statistics before equivalence check." */
public static final String PARAMETER_EQUIVALENCE_USE_STATISTICS = "equivalence_use_statistics";
/** The parameter name for "The maximum depth for the argument attributes used for attribute construction (-1: allow all depths)." */
public static final String PARAMETER_MAX_CONSTRUCTION_DEPTH = "max_construction_depth";
/** The parameter name for "Space separated list of functions which are not allowed in arguments for attribute construction." */
public static final String PARAMETER_UNUSED_FUNCTIONS = "unused_functions";
/** The parameter name for "Generate random constant attributes with this probability." */
public static final String PARAMETER_CONSTANT_GENERATION_PROB = "constant_generation_prob";
/** The parameter name for "Post processing after crossover (only possible for runs with only one generator)." */
public static final String PARAMETER_ASSOCIATIVE_ATTRIBUTE_MERGING = "associative_attribute_merging";
public YAGGA2(OperatorDescription description) {
super(description);
}
public IOObject[] apply() throws OperatorException {
if (getParameterAsBoolean(PARAMETER_RESTRICTIVE_SELECTION))
FeatureGenerator.setSelectionMode(FeatureGenerator.SELECTION_MODE_RESTRICTIVE);
else
FeatureGenerator.setSelectionMode(FeatureGenerator.SELECTION_MODE_ALL);
return super.apply();
}
protected PopulationOperator getMutationPopulationOperator(ExampleSet exampleSet) throws OperatorException {
GeneratingMutation mutation = (GeneratingMutation) super.getMutationPopulationOperator(exampleSet);
mutation.setMaxConstructionDepth(getParameterAsInt(PARAMETER_MAX_CONSTRUCTION_DEPTH));
String unused = getParameterAsString(PARAMETER_UNUSED_FUNCTIONS);
if (unused != null)
mutation.setUnusedFunctions(unused.split(" "));
return mutation;
}
public List<FeatureGenerator> getGenerators() {
List<FeatureGenerator> generators = super.getGenerators();
if (getParameterAsBoolean(PARAMETER_USE_SQUARE_ROOTS)) {
generators.add(new SquareRootGenerator());
}
if (getParameterAsBoolean(PARAMETER_USE_POWER_FUNCTIONS)) {
generators.add(new PowerGenerator());
}
if (getParameterAsBoolean(PARAMETER_USE_SIN))
generators.add(new TrigonometricFunctionGenerator(TrigonometricFunctionGenerator.SINUS));
if (getParameterAsBoolean(PARAMETER_USE_COS))
generators.add(new TrigonometricFunctionGenerator(TrigonometricFunctionGenerator.COSINUS));
if (getParameterAsBoolean(PARAMETER_USE_TAN))
generators.add(new TrigonometricFunctionGenerator(TrigonometricFunctionGenerator.TANGENS));
if (getParameterAsBoolean(PARAMETER_USE_ATAN))
generators.add(new TrigonometricFunctionGenerator(TrigonometricFunctionGenerator.ARC_TANGENS));
if (getParameterAsBoolean(PARAMETER_USE_EXP))
generators.add(new ExponentialFunctionGenerator(ExponentialFunctionGenerator.EXP));
if (getParameterAsBoolean(PARAMETER_USE_LOG))
generators.add(new ExponentialFunctionGenerator(ExponentialFunctionGenerator.LOG));
if (getParameterAsBoolean(PARAMETER_USE_ABSOLUTE_VALUES))
generators.add(new AbsoluteValueGenerator());
if (getParameterAsBoolean(PARAMETER_USE_MIN))
generators.add(new MinMaxGenerator(MinMaxGenerator.MIN));
if (getParameterAsBoolean(PARAMETER_USE_MAX))
generators.add(new MinMaxGenerator(MinMaxGenerator.MAX));
if (getParameterAsBoolean(PARAMETER_USE_SGN))
generators.add(new SignumGenerator());
if (getParameterAsBoolean(PARAMETER_USE_FLOOR_CEIL_FUNCTIONS)) {
generators.add(new FloorCeilGenerator(FloorCeilGenerator.FLOOR));
generators.add(new FloorCeilGenerator(FloorCeilGenerator.CEIL));
generators.add(new FloorCeilGenerator(FloorCeilGenerator.ROUND));
}
return generators;
}
protected List<PopulationOperator> getPreProcessingPopulationOperators(ExampleSet eSet) throws OperatorException {
List<PopulationOperator> popOps = super.getPreProcessingPopulationOperators(eSet);
double constantProb = getParameterAsDouble(PARAMETER_CONSTANT_GENERATION_PROB);
if (constantProb > 0.0d)
popOps.add(new ConstantGeneration(constantProb, getRandom()));
if (getParameterAsBoolean(PARAMETER_REMOVE_USELESS))
popOps.add(new RemoveUselessAttributes());
if (getParameterAsBoolean(PARAMETER_REMOVE_EQUIVALENT))
popOps.add(new EquivalentAttributeRemoval(getParameterAsInt(PARAMETER_EQUIVALENCE_SAMPLES), getParameterAsDouble(PARAMETER_EQUIVALENCE_EPSILON), getParameterAsBoolean(PARAMETER_EQUIVALENCE_USE_STATISTICS), getRandom()));
return popOps;
}
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
types.add(new ParameterTypeBoolean(PARAMETER_USE_SQUARE_ROOTS, "Generate square root values.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_POWER_FUNCTIONS, "Generate the power of one attribute and another.", true));
types.add(new ParameterTypeBoolean(PARAMETER_USE_SIN, "Generate sinus.", true));
types.add(new ParameterTypeBoolean(PARAMETER_USE_COS, "Generate cosinus.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_TAN, "Generate tangens.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_ATAN, "Generate arc tangens.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_EXP, "Generate exponential functions.", true));
types.add(new ParameterTypeBoolean(PARAMETER_USE_LOG, "Generate logarithmic functions.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_ABSOLUTE_VALUES, "Generate absolute values.", true));
types.add(new ParameterTypeBoolean(PARAMETER_USE_MIN, "Generate minimum values.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_MAX, "Generate maximum values.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_SGN, "Generate signum values.", false));
types.add(new ParameterTypeBoolean(PARAMETER_USE_FLOOR_CEIL_FUNCTIONS, "Generate floor, ceil, and rounded values.", false));
types.add(new ParameterTypeBoolean(PARAMETER_RESTRICTIVE_SELECTION, "Use restrictive generator selection (faster).", true));
types.add(new ParameterTypeBoolean(PARAMETER_REMOVE_USELESS, "Remove useless attributes.", true));
types.add(new ParameterTypeBoolean(PARAMETER_REMOVE_EQUIVALENT, "Remove equivalent attributes.", true));
types.add(new ParameterTypeInt(PARAMETER_EQUIVALENCE_SAMPLES, "Check this number of samples to prove equivalency.", 1, Integer.MAX_VALUE, 5));
types.add(new ParameterTypeDouble(PARAMETER_EQUIVALENCE_EPSILON, "Consider two attributes equivalent if their difference is not bigger than epsilon.", 0.0d, Double.POSITIVE_INFINITY, 0.05d));
types.add(new ParameterTypeBoolean(PARAMETER_EQUIVALENCE_USE_STATISTICS, "Recalculates attribute statistics before equivalence check.", true));
types.add(new ParameterTypeInt(PARAMETER_MAX_CONSTRUCTION_DEPTH, "The maximum depth for the argument attributes used for attribute construction (-1: allow all depths).", -1, Integer.MAX_VALUE, -1));
types.add(new ParameterTypeString(PARAMETER_UNUSED_FUNCTIONS, "Space separated list of functions which are not allowed in arguments for attribute construction."));
types.add(new ParameterTypeDouble(PARAMETER_CONSTANT_GENERATION_PROB, "Generate random constant attributes with this probability.", 0.0d, 1.0d, 0.02d));
types.add(new ParameterTypeBoolean(PARAMETER_ASSOCIATIVE_ATTRIBUTE_MERGING, "Post processing after crossover (only possible for runs with only one generator).", false));
return types;
}
}