Comments on: Decision Tree Learning in Ruby http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/ A goal is a dream with a deadline. Sun, 20 Jul 2008 21:48:23 +0000 http://wordpress.org/?v=2.5.1 By: Ilya Grigorik http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-102114 Ilya Grigorik Tue, 18 Mar 2008 12:37:34 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-102114 Thanks Raf! Amir, Pireland, <a href="http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/" rel="nofollow">svm article</a>, as Raf suggested. Thanks Raf!

Amir, Pireland, svm article, as Raf suggested.

]]> By: Raf http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-101901 Raf Mon, 10 Mar 2008 16:53:55 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-101901 Privet, nu ti postaralsa! Great article! To Amir and Pireland, you can try SVM as well for your purposes. Privet, nu ti postaralsa!

Great article!

To Amir and Pireland, you can try SVM as well for your purposes.

]]> By: 筆記與流年 » links for 2008-03-02 http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-101735 筆記與流年 » links for 2008-03-02 Sun, 02 Mar 2008 16:25:12 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-101735 [...] Decision Tree Learning in Ruby - igvita.com (tags: ruby machinelearning tree classification) [...] [...] Decision Tree Learning in Ruby - igvita.com (tags: ruby machinelearning tree classification) [...]

]]> By: Magisterarbeit » Blog Archive » Andere Methoden zu quantitativen Klassifizierung http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-95171 Magisterarbeit » Blog Archive » Andere Methoden zu quantitativen Klassifizierung Mon, 03 Dec 2007 07:21:39 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-95171 [...] Hier sind noch zwei Beispiele, wie eine Klassifizierung gemacht werden kann. Die erste Methode ist der Entscheidungsbaum (siehe Decision Tree Learning in Ruby, bzw. Building Decision Trees in Python). Wie bei Bayesschen Filtern sind auch Entscheidungsbäume künstliche Intelligenzen, die aus Beispielen lernen und die erlernten Regeln auf neue Beispiele anwenden, um zu einer Entscheidung oder Klassifizierung zu kommen. Auch hierzu gibt es eine praktische Ruby-Bibliothek: decisiontree. Kann einfach über “gem install decisiontree” installiert werden. [...] [...] Hier sind noch zwei Beispiele, wie eine Klassifizierung gemacht werden kann. Die erste Methode ist der Entscheidungsbaum (siehe Decision Tree Learning in Ruby, bzw. Building Decision Trees in Python). Wie bei Bayesschen Filtern sind auch Entscheidungsbäume künstliche Intelligenzen, die aus Beispielen lernen und die erlernten Regeln auf neue Beispiele anwenden, um zu einer Entscheidung oder Klassifizierung zu kommen. Auch hierzu gibt es eine praktische Ruby-Bibliothek: decisiontree. Kann einfach über “gem install decisiontree” installiert werden. [...]

]]> By: Ilya Grigorik http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-83192 Ilya Grigorik Thu, 08 Nov 2007 15:49:23 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-83192 Amir, if that's the case, I would seriously look at neural nets. Decision trees are best for simple, linear-type classification. If you have a huge dataset, it is likely that you'll need something beyond a linear separating function. Also, neural nets are very compact when it comes to storage requirements. Amir, if that’s the case, I would seriously look at neural nets. Decision trees are best for simple, linear-type classification. If you have a huge dataset, it is likely that you’ll need something beyond a linear separating function.

Also, neural nets are very compact when it comes to storage requirements.

]]> By: I am just a programmer » Decision Tree Learning in Ruby http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-82747 I am just a programmer » Decision Tree Learning in Ruby Wed, 07 Nov 2007 15:54:27 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-82747 [...] read more | digg story [...] [...] read more | digg story [...]

]]> By: Amir http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-82130 Amir Tue, 06 Nov 2007 07:49:22 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-82130 What if the training data set is big like few hundred thousand rows. do you have any suggestion to improve the performance and not overload the memory? What if the training data set is big like few hundred thousand rows. do you have any suggestion to improve the performance and not overload the memory?

]]> By: Ilya Grigorik http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-81069 Ilya Grigorik Sat, 03 Nov 2007 15:09:21 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-81069 Doug, that's awesome, I'm glad you found the gem useful. Interesting application as well! Doug, that’s awesome, I’m glad you found the gem useful. Interesting application as well!

]]> By: doug http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-80848 doug Fri, 02 Nov 2007 16:33:52 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-80848 Hi Ilya: I've relied a lot on your new Gem for a prof. project related to predicting outcomes in legal disputes. The downside is that the Gem is so complete that have running code but still don't have a solid understanding of the underlying theory though having running code to do test runs, etc. certainly helps with that. Anyway, your dt Gem is an excellent API, thanks. (Also good to find others from Minsk--many people i meet don't even know where it is!) --doug Hi Ilya: I’ve relied a lot on your new Gem for a prof. project related to predicting outcomes in legal disputes. The downside is that the Gem is so complete that have running code but still don’t have a solid understanding of the underlying theory though having running code to do test runs, etc. certainly helps with that. Anyway, your dt Gem is an excellent API, thanks. (Also good to find others from Minsk–many people i meet don’t even know where it is!)
–doug

]]> By: Ilya Grigorik http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/#comment-74624 Ilya Grigorik Tue, 09 Oct 2007 19:15:06 +0000 http://www.igvita.com/blog/2007/04/16/decision-tree-learning-in-ruby/#comment-74624 Joe, run <i>require 'rubygems'</i> prior to including the decisiontree gem. That should do the trick! Joe, run require ‘rubygems’ prior to including the decisiontree gem. That should do the trick!

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