weka.classifiers.evaluation.output.prediction.Null Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of weka-dev Show documentation
Show all versions of weka-dev Show documentation
The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This version represents the developer version, the
"bleeding edge" of development, you could say. New functionality gets added
to this version.
/*
* 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 .
*/
/*
* Null.java
* Copyright (C) 2009-2012 University of Waikato, Hamilton, New Zealand
*/
package weka.classifiers.evaluation.output.prediction;
import weka.classifiers.Classifier;
import weka.core.Instance;
/**
* Suppresses all output.
*
*
* Valid options are:
*
* -p <range>
* The range of attributes to print in addition to the classification.
* (default: none)
*
* -distribution
* Whether to turn on the output of the class distribution.
* Only for nominal class attributes.
* (default: off)
*
* -decimals <num>
* The number of digits after the decimal point.
* (default: 3)
*
* -file <path>
* The file to store the output in, instead of outputting it on stdout.
* Gets ignored if the supplied path is a directory.
* (default: .)
*
* -suppress
* In case the data gets stored in a file, then this flag can be used
* to suppress the regular output.
* (default: not suppressed)
*
*
* @author fracpete (fracpete at waikato dot ac dot nz)
* @version $Revision: 8937 $
*/
public class Null
extends AbstractOutput {
/** for serialization. */
private static final long serialVersionUID = 4988413155999044966L;
/**
* Returns a string describing the output generator.
*
* @return a description suitable for
* displaying in the GUI
*/
public String globalInfo() {
return "Suppresses all output.";
}
/**
* Returns a short display text, to be used in comboboxes.
*
* @return a short display text
*/
public String getDisplay() {
return "No output";
}
/**
* Returns always false.
*
* @return always false
*/
public boolean generatesOutput() {
return false;
}
/**
* Does nothing.
*/
protected void doPrintHeader() {
}
/**
* Does nothing.
*
* @param classifier the classifier to use
* @param inst the instance to generate text from
* @param index the index in the dataset
* @throws Exception if something goes wrong
*/
protected void doPrintClassification(Classifier classifier, Instance inst, int index) throws Exception {
}
/**
* Does nothing.
*
* @param dist the distribution to use
* @param inst the instance to generate text from
* @param index the index in the dataset
* @throws Exception if something goes wrong
*/
protected void doPrintClassification(double[] dist, Instance inst, int index) throws Exception {
}
/**
* Does nothing.
*/
protected void doPrintFooter() {
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy