/* * 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.preprocessing.filter; import java.util.List; import com.rapidminer.example.Attribute; import com.rapidminer.example.Attributes; import com.rapidminer.example.ExampleSet; import com.rapidminer.operator.IOObject; import com.rapidminer.operator.Operator; import com.rapidminer.operator.OperatorDescription; import com.rapidminer.operator.OperatorException; import com.rapidminer.operator.UserError; import com.rapidminer.parameter.ParameterType; import com.rapidminer.parameter.ParameterTypeString; import com.rapidminer.parameter.ParameterTypeStringCategory; /** * <p> * This operator can be used to change the attribute type of an attribute of the input example set. * If you want to change the attribute name you should use the {@link ChangeAttributeName} operator. * </p> * * <p> * The target type indicates if the attribute is a regular attribute (used by learning operators) or a * special attribute (e.g. a label or id attribute). The following target * attribute types are possible: * </p> * <ul> * <li>regular: only regular attributes are used as input variables for learning tasks</li> * <li>id: the id attribute for the example set</li> * <li>label: target attribute for learning</li> * <li>prediction: predicted attribute, i.e. the predictions of a learning scheme</li> * <li>cluster: indicates the memebership to a cluster</li> * <li>weight: indicates the weight of the example</li> * <li>batch: indicates the membership to an example batch</li> * </ul> * <p> * Users can also define own attribute types by simply using the desired name. * </p> * * @author Ingo Mierswa * @version $Id: ChangeAttributeType.java,v 1.6 2008/07/07 07:06:40 ingomierswa Exp $ */ public class ChangeAttributeType extends Operator { /** The parameter name for "The name of the attribute of which the type should be changed." */ public static final String PARAMETER_NAME = "name"; /** The parameter name for "The target type of the attribute (only changed if parameter change_attribute_type is true)." */ public static final String PARAMETER_TARGET_TYPE = "target_type"; private static final String REGULAR_NAME = "regular"; private static final String[] TARGET_TYPES = new String[] { REGULAR_NAME, Attributes.ID_NAME, Attributes.LABEL_NAME, Attributes.PREDICTION_NAME, Attributes.CLUSTER_NAME, Attributes.WEIGHT_NAME, Attributes.BATCH_NAME }; public ChangeAttributeType(OperatorDescription description) { super(description); } public IOObject[] apply() throws OperatorException { ExampleSet exampleSet = getInput(ExampleSet.class); String name = getParameterAsString(PARAMETER_NAME); Attribute attribute = exampleSet.getAttributes().get(name); if (attribute == null) { throw new UserError(this, 111, name); } exampleSet.getAttributes().remove(attribute); String newType = getParameterAsString(PARAMETER_TARGET_TYPE); if ((newType == null) || (newType.trim().length() == 0)) throw new UserError(this, 201, new Object[] { "target_type", "change_attribute_type", "true" }); if (newType.equals(REGULAR_NAME)) { exampleSet.getAttributes().addRegular(attribute); } else { exampleSet.getAttributes().setSpecialAttribute(attribute, newType); } return new IOObject[] { exampleSet }; } public Class<?>[] getInputClasses() { return new Class[] { ExampleSet.class }; } public Class<?>[] getOutputClasses() { return new Class[] { ExampleSet.class }; } public List<ParameterType> getParameterTypes() { List<ParameterType> types = super.getParameterTypes(); types.add(new ParameterTypeString(PARAMETER_NAME, "The name of the attribute of which the type should be changed.", false)); ParameterType type = new ParameterTypeStringCategory(PARAMETER_TARGET_TYPE, "The target type of the attribute (only changed if parameter change_attribute_type is true).", TARGET_TYPES, TARGET_TYPES[0]); type.setExpert(false); types.add(type); return types; } }