from diles.learn import Learner

from diles.learn.learners.bayes import NBLearner, FMLearner
from diles.learn.learners.cbr import KNNLearner
from diles.learn.learners.svm import SVMLearner

paramspace = {}
for cls in (NBLearner, FMLearner, KNNLearner, SVMLearner):
    paramspace.update(cls.paramspace)

class _CombinedLearner(Learner):
    """A combined learner.

    Lets multiple base learners vote.

    """
    paramspace = paramspace

    def __init__(self, **kwds):
        pass # TODO (use inspect)

    def train(self, samples, labels, fwl=None, fwt=0):
        """See :meth:`diles.learn.Learner.train`."""
        # TODO

    def predict(self, sample): # pylint: disable-msg=W0613
        """See :meth:`diles.learn.Learner.predict`.

        The returned ranking is a probability distribution.

        """
        # TODO