Hello everyone,

Im familiar with the scikit-learn classifiers and have used them a lot of
times in some research. The problem I'm facing right now is my data is in
the form of numpy object array.

For example X is:

X = [  [1,2] [2,5] [[1,2],[3,4]],
         [2,4] [54,52] [[11,22],[13,4]],
         [1,23] [2,25] [[1,2],[3,4]]   ]

the labels are 0 and 1.

Is there any sklearn classifier which will work on this type of data? If
not are there any other libraries that can handle this kind of data?

-- 
Regards

Abhishek Thakur

   - de.linkedin.com/in/abhisvnit/
------------------------------------------------------------------------------
Sponsored by Intel(R) XDK 
Develop, test and display web and hybrid apps with a single code base.
Download it for free now!
http://pubads.g.doubleclick.net/gampad/clk?id=111408631&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to