/* * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU 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 General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see <http://www.gnu.org/licenses/>. */ /* * BatchPredictor.java * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand. * */ package weka.core; /** * Interface to something that can produce predictions in a batch manner * when presented with a set of Instances. * * @author Mark Hall (mhall{[at]}pentaho{[dot]}com) * @version $Revision: 8937 $ */ public interface BatchPredictor { /** * Set the batch size to use. The implementer will * prefer (but not necessarily expect) this many instances * to be passed in to distributionsForInstances(). * * @param size the batch size to use */ void setBatchSize(String size); /** * Get the batch size to use. The implementer will prefer (but not * necessarily expect) this many instances to be passed in to * distributionsForInstances(). Allows the preferred batch size * to be encapsulated with the client. * * @return the batch size to use */ String getBatchSize(); /** * Batch scoring method * * @param insts the instances to get predictions for * @return an array of probability distributions, one for each instance * @throws Exception if a problem occurs */ double[][] distributionsForInstances(Instances insts) throws Exception; }