Discussion:
Regarding Decision Tree in Scikit-Learn
(too old to reply)
Chintan Bhatt
2016-02-12 07:00:06 UTC
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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/
Jacob Schreiber
2016-02-12 07:04:36 UTC
Permalink
Can you be a bit more specific?
Post by Chintan Bhatt
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/
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Chintan Bhatt
2016-02-12 07:08:40 UTC
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Actually, I intend to research in scikit-learne algorithms so that it can
be efficiently and effectively mine/classify big data.
So I need some guidance regarding it.
Post by Jacob Schreiber
Can you be a bit more specific?
Post by Chintan Bhatt
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/
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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/
Chirag Nagpal
2016-02-12 07:25:19 UTC
Permalink
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 <***@gmail.com>
Sent: 12 February 2016 12:30
To: scikit-learn-***@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/
Chintan Bhatt
2016-05-03 05:13:34 UTC
Permalink
I have decided to improve decision tree based on map reduce.
My question is which parameter I have to focus for the same?
Information gain, entropy???????
Post by Chirag Nagpal
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
------------------------------
*Sent:* 12 February 2016 12:30
*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/
------------------------------------------------------------------------------
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_______________________________________________
Scikit-learn-general mailing list
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--
-----
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/
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