Thanks for your response, Christian. I experimented with the package. FYI,
there’s a problem with the pypi arff reader. The package claims to handle
numbers but it seems to encode everything (including numbers) as strings, like
this:
[['blonde' '17.2' '1' 'yes']
['blue' '27.2' '2' 'yes']
['blue' '18.2' '3' ’no’]]
I’ve been using Lars Buitinck’s arff reader (thanks Lars!) which does numerical
encodings, which are necessary for most of scikits-learn.
Regards,
-Tom
On Mar 5, 2013, at 7:34 AM, Christian <mining.fa...@gmail.com> wrote:
> Hi Tom,
>
> recently I saw the arff-package in pypi. Seems working.
>
> import arff
> import numpy as np
>
> barray = []
> for row in arff.load('/home/chris/tools/weka-3-7-6/rd54_train.arff'):
> barray.append(list(row))
>
> nparray = np.array(barray)
> print nparray.shape
> (4940, 56)
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