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Type Members

1. case class DataSet(variableIds: Array[Int], samples: Array[Array[Int]]) extends Product with Serializable

   

   Represents data samples, which are used for learning parameters of Bayesian Network.

   Represents data samples, which are used for learning parameters of Bayesian Network.

   variableIds

   Defines the order of variables in a single sample

   samples

   Single sample contains values for all variables in a Bayesian Network

   Use -1 to encode unknown value for a variable.

2. trait EMLearn extends AnyRef

   

   Learns parameters of Bayesian Network with Expectation Maximisation algorithm, presented in 'Daphne Koller, Nir Friedman.

   Learns parameters of Bayesian Network with Expectation Maximisation algorithm, presented in 'Daphne Koller, Nir Friedman. Probabilistic Graphical Models, Principles and Techniques, 2009' book.