We really should have this support within the library. Does it make sense
to just use the functionality in the arff-package?
On Tue, 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)
>
> HTH
> Christian
>
> > I’m trying to load up an ARFF (Weka-style .arff) so I can use it with
> sklearn’s classifiers. I found scipy’s arff_load function, but getting it
> into numpy arrays of data and targets is nontrivial. Is there a facility
> for doing this (semi-)automatically?
> >
> > I looked through the ./sklearn/datasets directory and I did some google
> searches but nothing obvious is uncovered.
> >
> > Thanks,
> > -Tom
> >
> >
> >
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