Hitachi Vantara Pentaho Community Forums
Results 1 to 2 of 2

Thread: Hyperparameter Search Ensemble Methods

  1. #1
    Join Date
    Nov 2016
    Posts
    1

    Default Hyperparameter Search Ensemble Methods

    Hey there,

    I am using WEKA with Java in an Android app. Now I want to find the best Parameters for Ensemble methods like LogitBoost, AdaBoost, Bagging and RandomForest. How do I do this the best way?
    I found an article on the WEKA Community Website (http://weka.wikispaces.com/Optimizing+parameters) but I don't know how to use them in Java.

    Best regards,
    Joel

  2. #2
    Join Date
    Aug 2006
    Posts
    1,741

    Default

    Methods mentioned in the optimizing hyperparameters wiki page are all Weka classifiers themselves and, as such, can be configured and used in the same way as any other classifier. So you can use the setOptions() method to pass in command line options. Alternatively, individual properties can be set via set methods. The wiki pages on using Weka programatically should help:

    http://weka.wikispaces.com/How+do+I+...my+own+code%3F

    Cheers,
    Mark.

Tags for this Thread

Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts
  •  
Privacy Policy | Legal Notices | Safe Harbor Privacy Policy

Copyright © 2005 - 2019 Hitachi Vantara Corporation. All Rights Reserved.