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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