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nz.ac.waikato.cms.weka : dagging

Maven & Gradle

Apr 29, 2014

dagging · This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier. Predictions are made via majority vote, since all the generated base classifiers are put into the Vote meta classifier. Useful for base classifiers that are quadratic or worse in time behavior, regarding number of instances in the training data. For more information, see: Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.

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Download nz.ac.waikato.cms.weka : dagging Javadoc & API Documentation - Latest Versions:

All Versions

Download nz.ac.waikato.cms.weka : dagging Javadoc & API Documentation - All Versions:

Version Size Javadoc Updated
1.0.x

How to open Javadoc JAR file in web browser

  1. Rename the file dagging-1.0.3-javadoc.jar to dagging-1.0.3-javadoc.zip
  2. Use your favourite unzip tool (WinRAR / WinZIP) to extract it, now you have a folder dagging-1.0.3-javadoc
  3. Double click index.html will open the index page on your default web browser.

How to generate Javadoc from a source JAR?

Running the command javadoc:

javadoc --ignore-source-errors -encoding UTF-8 -sourcepath "dagging-1.0.3-sources.jar" -d "dagging-1.0.3-javadoc" -subpackages