DOC

nz.ac.waikato.cms.weka : bestFirstTree

Maven & Gradle

Apr 27, 2014

bestFirstTree · Class for building a best-first decision tree classifier. This class uses binary split for both nominal and numeric attributes. For missing values, the method of 'fractional' instances is used. For more information, see: Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.

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

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

Version Size Javadoc Updated
1.0.x
bestFirstTree-1.0.4-javadoc.jar
bestFirstTree-1.0.3-javadoc.jar
bestFirstTree-1.0.2-javadoc.jar

How to open Javadoc JAR file in web browser

  1. Rename the file bestFirstTree-1.0.4-javadoc.jar to bestFirstTree-1.0.4-javadoc.zip
  2. Use your favourite unzip tool (WinRAR / WinZIP) to extract it, now you have a folder bestFirstTree-1.0.4-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 "bestFirstTree-1.0.4-sources.jar" -d "bestFirstTree-1.0.4-javadoc" -subpackages

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