probabilities vw

from vowpalwabbit import pyvw

def to_vw(clf, text, str_labels):
    vw_example = str('{} |f {} '.format(str_labels, text))
    return clf.example(vw_example)

clf = vw = pyvw.vw(
    loss_function='logistic', oaa=2,
    link='logistic', raw_predictions='output.txt'
)

ex = to_vw(clf, 'I like vowpal wabbit. But not that much.', '1')
clf.learn(ex)
clf.predict(ex, labelType=pyvw.pylibvw.vw.lMulticlass)