[SciPy-user] scipy data mining ?

[Michael Sorich]

Hi Karl,

I have used Orange before and it is quite good - the range of methods
available are not as comprehensive as Weka but is much easier to write
a script compared to using jython and weka. I would also prefer it to
be better integrated with scipy - both in terms of code and/or
licensing. I don't know how realistic this is but it is worth asking.
I suspect that at least some of the code may be based on other GPL
libraries. Also the main data class is an ExampleTable which is
implemented in C++ and is structured quite differently to any numpy
array - recarray is probably closest.

Good luck,

Michael

On 1/23/07, Karl Young <Karl.Young at ucsf.edu> wrote:
>
> I'm currently using a nice Java based data mining package called Weka
> (essentially as a black box as I don't have time to learn Java)  but was
> looking for something more python/scipy friendly to switch to as I'd
> prefer more interactive use. I found a python package on the web that
> potentially looks pretty nice (Orange - http://www.ailab.si/orange) but
> given that it uses GPL (and also given the recent discussion on license
> issues) and doesn't look to have made any effort to be numpy/scipy
> friendly I was wondering if anyone was aware of a more scipy friendly
> effort. Should someone (maybe even me...) be talked into contacting the
> Orange developers and seeing if they'd be interested in a switch to BSD
> and a gradual evolution towards integration with numpy... ?
>
> --
>
> Karl Young
> Center for Imaging of Neurodegenerative Diseases, UCSF
> VA Medical Center (114M)              Phone:  (415) 221-4810 x3114  lab
> 4150 Clement Street                   FAX:    (415) 668-2864
> San Francisco, CA 94121               Email:  karl young at ucsf edu
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