Hi Chintan
What exactly are you referring to when you mean 'Big Data Research in Decision
Tree'.
Scikit learn has a very easy to use interface for applying Random Forest on
datasets, and is ideal for that. It also supports certain improved RFs like
boosted, extreme etc.
Are you looking to do some fundamental research/improvement on Random Forest
itself? Like some new method of Bagging/ Boosting etc ? Then I do not think
Scikit Learn would be a right place to look at. However probably one can
explore if you have some existing code, which you want to add to Scikit.
PS. Try not to use Big Data too often, the buzzword gets misused a lot. Lets
just call it Machine Learning
Thanks
Chirag Nagpal
________________________________
From: Chintan Bhatt <bhattchinta...@gmail.com>
Sent: 12 February 2016 12:30
To: scikit-learn-general@lists.sourceforge.net
Subject: [Scikit-learn-general] Regarding Decision Tree in Scikit-Learn
Hi,
Is anyone working on big data research in Decision Tree using scikit-learn?
--
-----
Regards,
PROF. CHINTAN BHATT<http://in.linkedin.com/pub/chintan-bhatt/22/b31/336>
PhD*, Computer Science
https://sites.google.com/a/ecchanga.ac.in/chintan/
------------------------------------------------------------------------------
Site24x7 APM Insight: Get Deep Visibility into Application Performance
APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month
Monitor end-to-end web transactions and take corrective actions now
Troubleshoot faster and improve end-user experience. Signup Now!
http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
