learner.exhaustive
– Exhaustive learners¶
This modules provides exhaustive learners. Currently, it include the ListLearner class which scores a list of networks. In the future, we might implent exhaustive learners that score all possible networks meeting some constraints (as defined by prior models).
ListLearner Class¶
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class
pebl.learner.exhaustive.
ListLearner
(data_=None, prior_=None, networks=None)¶ Create a ListLearner learner.
networks should be a list of networks (as network.Network instances).
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split
(count)¶ Split the learner into multiple learners.
Splits self.networks into count parts. This is similar to MPI’s scatter functionality.
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