package de.lmu.ifi.dbs.elki.algorithm.classification; /* This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures Copyright (C) 2015 Ludwig-Maximilians-Universität München Lehr- und Forschungseinheit für Datenbanksysteme ELKI Development Team 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 . */ import de.lmu.ifi.dbs.elki.algorithm.Algorithm; import de.lmu.ifi.dbs.elki.data.ClassLabel; import de.lmu.ifi.dbs.elki.database.Database; import de.lmu.ifi.dbs.elki.database.relation.Relation; /** * A Classifier is to hold a model that is built based on a database, and to * classify a new instance of the same type. * * @author Arthur Zimek * @since 0.7.0 * * @param the type of DatabaseObjects handled by this Algorithm */ public interface Classifier extends Algorithm { /** * Performs the training. Sets available labels. * * @param database the database to build the model on * @param classLabels the classes to be learned */ public void buildClassifier(Database database, Relation classLabels); /** * Classify a single instance. * * @param instance an instance to classify * @return predicted class label of the given instance */ public ClassLabel classify(O instance); /** * Produce a String representation of the classification model. * * @return a String representation of the classification model */ public String model(); }