/*
* RapidMiner
*
* Copyright (C) 2001-2014 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.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/.
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package com.rapidminer.operator.preprocessing.discretization;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Set;
import java.util.TreeSet;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.Statistics;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.UserError;
import com.rapidminer.operator.annotation.ResourceConsumptionEstimator;
import com.rapidminer.operator.ports.metadata.AttributeMetaData;
import com.rapidminer.operator.ports.metadata.ExampleSetMetaData;
import com.rapidminer.operator.ports.metadata.SetRelation;
import com.rapidminer.operator.preprocessing.PreprocessingModel;
import com.rapidminer.parameter.ParameterType;
import com.rapidminer.parameter.ParameterTypeBoolean;
import com.rapidminer.parameter.ParameterTypeCategory;
import com.rapidminer.parameter.ParameterTypeDouble;
import com.rapidminer.parameter.ParameterTypeInt;
import com.rapidminer.parameter.UndefinedParameterError;
import com.rapidminer.parameter.conditions.BooleanParameterCondition;
import com.rapidminer.parameter.conditions.EqualTypeCondition;
import com.rapidminer.tools.Ontology;
import com.rapidminer.tools.OperatorResourceConsumptionHandler;
/**
* This operator discretizes all numeric attributes in the dataset into
* nominal attributes. This discretization is performed by simple binning,
* i.e. the specified number of equally sized bins is created and the
* numerical values are simply sorted into those bins. Skips all special
* attributes including the label.
*
* @author Sebastian Land, Ingo Mierswa
*/
public class BinDiscretization extends AbstractDiscretizationOperator {
static {
registerDiscretizationOperator(BinDiscretization.class);
}
private static final String RANGE_NAME_BASE = "range";
/** Indicates the number of used bins. */
public static final String PARAMETER_NUMBER_OF_BINS = "number_of_bins";
public static final String PARAMETER_DEFINE_BOUNDARIES = "define_boundaries";
public static final String PARAMETER_MIN_VALUE = "min_value";
public static final String PARAMETER_MAX_VALUE = "max_value";
/** Indicates if long range names should be used. */
public static final String PARAMETER_RANGE_NAME_TYPE = "range_name_type";
public static final String PARAMETER_AUTOMATIC_NUMBER_OF_DIGITS = "automatic_number_of_digits";
public static final String PARAMETER_NUMBER_OF_DIGITS = "number_of_digits";
public BinDiscretization(OperatorDescription description) {
super(description);
}
@Override
protected Collection<AttributeMetaData> modifyAttributeMetaData(ExampleSetMetaData emd, AttributeMetaData amd) throws UndefinedParameterError {
AttributeMetaData newAMD = new AttributeMetaData(amd.getName(), Ontology.NOMINAL, amd.getRole());
Set<String> valueSet = new TreeSet<String>();
if (getParameterAsInt(PARAMETER_RANGE_NAME_TYPE) == DiscretizationModel.RANGE_NAME_SHORT) {
for (int i = 0; i < getParameterAsInt(PARAMETER_NUMBER_OF_BINS); i++) {
valueSet.add(RANGE_NAME_BASE + (i + 1));
}
newAMD.setValueSet(valueSet, SetRelation.EQUAL);
} else {
newAMD.setValueSet(valueSet, SetRelation.SUPERSET);
}
return Collections.singletonList(newAMD);
}
@Override
public PreprocessingModel createPreprocessingModel(ExampleSet exampleSet) throws OperatorException {
DiscretizationModel model = new DiscretizationModel(exampleSet);
exampleSet.recalculateAllAttributeStatistics();
int numberOfBins = getParameterAsInt(PARAMETER_NUMBER_OF_BINS);
HashMap<Attribute, double[]> ranges = new HashMap<Attribute, double[]>();
if (getParameterAsBoolean(PARAMETER_DEFINE_BOUNDARIES)) {
double min = getParameterAsDouble(PARAMETER_MIN_VALUE);
double max = getParameterAsDouble(PARAMETER_MAX_VALUE);
if (min > max) {
throw new UserError(this, 116, PARAMETER_MIN_VALUE + " and " + PARAMETER_MAX_VALUE, "minimum must be less than maximum");
}
for (Attribute attribute : exampleSet.getAttributes()) {
if (attribute.isNumerical()) { // skip nominal and date attributes
double[] binRange = new double[numberOfBins + 2];
binRange[0] = min;
for (int b = 1; b < numberOfBins; b++) {
binRange[b] = min + (((double) b / (double) numberOfBins) * (max - min));
}
binRange[numberOfBins] = max;
binRange[numberOfBins + 1] = Double.POSITIVE_INFINITY;
ranges.put(attribute, binRange);
}
}
} else {
for (Attribute attribute : exampleSet.getAttributes()) {
if (attribute.isNumerical()) { // skip nominal and date attributes
double[] binRange = new double[numberOfBins];
double min = exampleSet.getStatistics(attribute, Statistics.MINIMUM);
double max = exampleSet.getStatistics(attribute, Statistics.MAXIMUM);
for (int b = 0; b < numberOfBins - 1; b++) {
binRange[b] = min + (((double) (b + 1) / (double) numberOfBins) * (max - min));
}
binRange[numberOfBins - 1] = Double.POSITIVE_INFINITY;
ranges.put(attribute, binRange);
}
}
}
// determine number of digits
int numberOfDigits = -1;
if (getParameterAsBoolean(PARAMETER_AUTOMATIC_NUMBER_OF_DIGITS) == false) {
numberOfDigits = getParameterAsInt(PARAMETER_NUMBER_OF_DIGITS);
}
model.setRanges(ranges, RANGE_NAME_BASE, getParameterAsInt(PARAMETER_RANGE_NAME_TYPE), numberOfDigits);
return (model);
}
@Override
public Class<? extends PreprocessingModel> getPreprocessingModelClass() {
return DiscretizationModel.class;
}
@Override
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
ParameterType type = new ParameterTypeInt(PARAMETER_NUMBER_OF_BINS, "Defines the number of bins which should be used for each attribute.", 2, Integer.MAX_VALUE, 2);
type.setExpert(false);
types.add(type);
type = new ParameterTypeBoolean(PARAMETER_DEFINE_BOUNDARIES, "Define the boundraries for the bin calculation.", false);
types.add(type);
type = new ParameterTypeDouble(PARAMETER_MIN_VALUE, "The minimum value for the binning range.", Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, true);
type.registerDependencyCondition(new BooleanParameterCondition(this, PARAMETER_DEFINE_BOUNDARIES, true, true));
types.add(type);
type = new ParameterTypeDouble(PARAMETER_MAX_VALUE, "The maximum value for the binning range.", Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, true);
type.registerDependencyCondition(new BooleanParameterCondition(this, PARAMETER_DEFINE_BOUNDARIES, true, true));
types.add(type);
types.add(new ParameterTypeCategory(PARAMETER_RANGE_NAME_TYPE, "Indicates if long range names including the limits should be used.", DiscretizationModel.RANGE_NAME_TYPES, DiscretizationModel.RANGE_NAME_LONG));
type = new ParameterTypeBoolean(PARAMETER_AUTOMATIC_NUMBER_OF_DIGITS, "Indicates if the number of digits should be automatically determined for the range names.", true);
type.registerDependencyCondition(new EqualTypeCondition(this, PARAMETER_RANGE_NAME_TYPE, DiscretizationModel.RANGE_NAME_TYPES, false, DiscretizationModel.RANGE_NAME_INTERVAL));
types.add(type);
type = new ParameterTypeInt(PARAMETER_NUMBER_OF_DIGITS, "The minimum number of digits used for the interval names.", 1, Integer.MAX_VALUE, 3);
type.registerDependencyCondition(new BooleanParameterCondition(this, PARAMETER_AUTOMATIC_NUMBER_OF_DIGITS, false, false));
types.add(type);
return types;
}
@Override
public ResourceConsumptionEstimator getResourceConsumptionEstimator() {
return OperatorResourceConsumptionHandler.getResourceConsumptionEstimator(getInputPort(), BinDiscretization.class, attributeSelector);
}
}