/**
* Copyright (C) 2001-2017 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/.
*/
package com.rapidminer.operator.generator;
import java.util.ArrayList;
import java.util.List;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.Attributes;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.table.AttributeFactory;
import com.rapidminer.example.utils.ExampleSetBuilder;
import com.rapidminer.example.utils.ExampleSets;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.io.AbstractExampleSource;
import com.rapidminer.operator.ports.metadata.AttributeMetaData;
import com.rapidminer.operator.ports.metadata.ExampleSetMetaData;
import com.rapidminer.operator.ports.metadata.MetaData;
import com.rapidminer.parameter.ParameterType;
import com.rapidminer.parameter.ParameterTypeBoolean;
import com.rapidminer.parameter.ParameterTypeInt;
import com.rapidminer.tools.Ontology;
import com.rapidminer.tools.RandomGenerator;
import com.rapidminer.tools.math.container.Range;
/**
* Generates a random example set for testing purposes. The data represents a team profit example
* set.
*
* @author Ingo Mierswa
*/
public class TransfersExampleSetGenerator extends AbstractExampleSource {
/** The parameter name for "The number of generated examples." */
public static final String PARAMETER_NUMBER_EXAMPLES = "number_examples";
/** The parameter name for the creation of a fraud label. */
public static final String PARAMETER_CREATE_FRAUD_LABEL = "create_fraud_label";
private static String[] ATTRIBUTE_NAMES = { "Source", "Target", "ProjectID", "Reason", "Person", "Amount" };
private static int[] VALUE_TYPES = { Ontology.NOMINAL, Ontology.NOMINAL, Ontology.NOMINAL, Ontology.INTEGER,
Ontology.NOMINAL, Ontology.REAL };
private static String[][] POSSIBLE_VALUES = { { "1201", "1302", "4517", "4711", "2323", "1110", "2233" },
{ "1201", "1302", "4517", "4711", "2323", "1110", "2233" },
{ "Prj01", "Prj02", "Prj03", "Prj04", "Prj05", "Prj06", "Prj07", "Prj08" }, null,
{ "Mr. Brown", "Mr. Miller", "Mrs. Smith", "Mrs. Hanson", "Mrs. Green", "Mr. Chang" }, null };
public TransfersExampleSetGenerator(OperatorDescription description) {
super(description);
}
@Override
public ExampleSet createExampleSet() throws OperatorException {
// init
int numberOfExamples = getParameterAsInt(PARAMETER_NUMBER_EXAMPLES);
// create table
List<Attribute> attributes = new ArrayList<Attribute>();
Attribute id = AttributeFactory.createAttribute("TransferID", Ontology.INTEGER);
attributes.add(id);
for (int m = 0; m < ATTRIBUTE_NAMES.length; m++) {
Attribute current = AttributeFactory.createAttribute(ATTRIBUTE_NAMES[m], VALUE_TYPES[m]);
String[] possibleValues = POSSIBLE_VALUES[m];
if (possibleValues != null) {
for (int v = 0; v < possibleValues.length; v++) {
current.getMapping().mapString(possibleValues[v]);
}
}
attributes.add(current);
}
boolean createFraudLabel = getParameterAsBoolean(PARAMETER_CREATE_FRAUD_LABEL);
Attribute label = null;
if (createFraudLabel) {
label = AttributeFactory.createAttribute("fraud", Ontology.NOMINAL);
label.getMapping().mapString("yes");
label.getMapping().mapString("no");
attributes.add(label);
}
ExampleSetBuilder builder = ExampleSets.from(attributes).withExpectedSize(numberOfExamples);
// create data
RandomGenerator random = RandomGenerator.getRandomGenerator(this);
// init operator progress
getProgress().setTotal(numberOfExamples);
for (int n = 0; n < numberOfExamples; n++) {
int specialLength = createFraudLabel ? 2 : 1;
double[] values = new double[ATTRIBUTE_NAMES.length + specialLength];
values[0] = n + 1;
// "Source", "Target", "ProjectID", "Reason", "Person", "Amount"
values[1] = random.nextInt(POSSIBLE_VALUES[0].length);
values[2] = random.nextInt(POSSIBLE_VALUES[1].length);
values[3] = random.nextInt(POSSIBLE_VALUES[2].length);
values[4] = random.nextIntInRange(10000, 99999);
values[5] = random.nextInt(POSSIBLE_VALUES[4].length);
values[6] = Math.round(random.nextGaussian() * 15000) + 50000;
if (createFraudLabel) {
values[7] = label.getMapping().mapString("no");
if ((values[1] == 3 || values[1] == 4) && (values[2] == 1 || values[2] == 2)) {
if (random.nextDouble() > 0.05) {
values[7] = label.getMapping().mapString("yes");
}
}
}
builder.addRow(values);
getProgress().step();
}
getProgress().complete();
// create example set and return it
if (createFraudLabel) {
builder.withRole(label, Attributes.LABEL_NAME);
}
return builder.withRole(id, Attributes.ID_NAME).build();
}
@Override
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
ParameterType type = new ParameterTypeInt(PARAMETER_NUMBER_EXAMPLES, "The number of generated examples.", 1,
Integer.MAX_VALUE, 100);
type.setExpert(false);
types.add(type);
type = new ParameterTypeBoolean(PARAMETER_CREATE_FRAUD_LABEL,
"Indicates if a label should be created for possible frauds.", false);
type.setExpert(false);
types.add(type);
types.addAll(RandomGenerator.getRandomGeneratorParameters(this));
return types;
}
@Override
public MetaData getGeneratedMetaData() throws OperatorException {
ExampleSetMetaData emd = new ExampleSetMetaData();
emd.addAttribute(new AttributeMetaData("TransferID", Ontology.INTEGER, Attributes.ID_NAME));
emd.addAttribute(new AttributeMetaData("Source", null, POSSIBLE_VALUES[0]));
emd.addAttribute(new AttributeMetaData("Target", null, POSSIBLE_VALUES[1]));
emd.addAttribute(new AttributeMetaData("ProjectID", null, POSSIBLE_VALUES[2]));
emd.addAttribute(new AttributeMetaData("Reason", null, Ontology.INTEGER, new Range(10000, 99999)));
emd.addAttribute(new AttributeMetaData("Person", null, POSSIBLE_VALUES[1]));
emd.addAttribute(new AttributeMetaData("Amount", null, Ontology.INTEGER, new Range(50000, Double.POSITIVE_INFINITY)));
if (getParameterAsBoolean(PARAMETER_CREATE_FRAUD_LABEL)) {
emd.addAttribute(new AttributeMetaData("fraud", Attributes.LABEL_NAME, Ontology.NOMINAL, new String[] { "yes",
"no" }));
}
emd.setNumberOfExamples(getParameterAsInt(PARAMETER_NUMBER_EXAMPLES));
return emd;
}
}