Any way to export a python array into SVM light format?
There is one in scikit-learn:
http://scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html
It's basic but it works both for numpy arrays and scipy.sparse matrices.
I wrote this totally un-optimized script a while ago, maybe it can help! Data and labels must be in two separate numpy arrays.
def save_svmlight_data(data, labels, data_filename, data_folder = ''):
file = open(data_folder+data_filename,'w')
for i,x in enumerate(data):
indexes = x.nonzero()[0]
values = x[indexes]
label = '%i'%(labels[i])
pairs = ['%i:%f'%(indexes[i]+1,values[i]) for i in xrange(len(indexes))]
sep_line = [label]
sep_line.extend(pairs)
sep_line.append('\n')
line = ' '.join(sep_line)
file.write(line)
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