Uses of Interface
com.bayesserver.data.EvidenceReaderCommandFactory
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Packages that use EvidenceReaderCommandFactory Package Description com.bayesserver.analysis com.bayesserver.data com.bayesserver.learning.structure -
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Uses of EvidenceReaderCommandFactory in com.bayesserver.analysis
Methods in com.bayesserver.analysis with parameters of type EvidenceReaderCommandFactory Modifier and Type Method Description static InSampleAnomalyDetection
InSampleAnomalyDetection. learn(Network network, EvidenceReaderCommandFactory evidenceReaderCommandFactory, InSampleAnomalyDetectionActions actions, InSampleAnomalyDetectionOptions options)
Build the in-sample anomaly detector, which can be used to remove anomalous data from a training data set. -
Uses of EvidenceReaderCommandFactory in com.bayesserver.data
Classes in com.bayesserver.data that implement EvidenceReaderCommandFactory Modifier and Type Class Description class
DataTableEvidenceReaderCommandFactory
A default implementation ofEvidenceReaderCommandFactory
based on a DataTable and a simple partitioning scheme based on a partition column. -
Uses of EvidenceReaderCommandFactory in com.bayesserver.learning.structure
Methods in com.bayesserver.learning.structure with parameters of type EvidenceReaderCommandFactory Modifier and Type Method Description StructuralLearningOutput
ChowLiuStructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.StructuralLearningOutput
ClusteringStructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn a cluster / mixture model.StructuralLearningOutput
HierarchicalStructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.StructuralLearningOutput
PCStructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.StructuralLearningOutput
SearchStructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.StructuralLearningOutput
StructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.StructuralLearningOutput
TANStructuralLearning. learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.
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