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BayesNet
- class org.recommender.algorithms.Experimental.
BayesNet
.
In-memory representation of a Bayesian network with decision trees at each node.
BayesNet(int, String)
- Constructor for class org.recommender.algorithms.Experimental.
BayesNet
Construct a new Bayesian network.
BayesNetAlgorithm
- class org.recommender.algorithms.Experimental.
BayesNetAlgorithm
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the popularity algorithm: just average ratings from all users.
BayesNetAlgorithm(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
BayesNetAlgorithm
Get algorithm properties and initialize a BayesNet object.
beginBranch()
- Method in class org.recommender.algorithms.Experimental.
DecisionTree
Method called when a <Branch> tag is encountered.
beginBranch()
- Method in class org.recommender.algorithms.Experimental.
ContinuousDecisionTree
Method called when a <Branch> tag is encountered.
beginMultinomial()
- Method in class org.recommender.algorithms.Experimental.
DecisionTree
Method called when a <Multinomial> tag is encountered.
beginVertex(StartElementEvent)
- Method in class org.recommender.algorithms.Experimental.
DecisionTree
Method called when a <Vertex> tag is encountered.
beginVertex(StartElementEvent)
- Method in class org.recommender.algorithms.Experimental.
ContinuousDecisionTree
Method called when a <Vertex> tag is encountered.
BinGaussian
- class org.recommender.algorithms.Experimental.
BinGaussian
.
Represents a tag for a binGuassian probability distribution, and its contents.
BinGaussian(float, float, float)
- Constructor for class org.recommender.algorithms.Experimental.
BinGaussian
Construct an empty binGuassian.
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