Package com.bayesserver.data.discovery

Interface Summary

Interface	Description
Discretize	Interface which a discretization algorithm must implement.
DiscretizeProgress	Interface to provide progress information during discretization.
DiscretizeProgressInfo	Interface to provide progress information during discretization.
VariableGeneratorProgress	Interface to provide progress information during data discovery (VariableGenerator).

Class Summary

Class	Description
Clustering	Discretizes continuous data in bins, using a probabilistic clustering algorithm.
DiscretizationAlgoOptions	Options for a discretization algorithm.
DiscretizationColumn	Identifies a column of data and how it is to be discretized.
DiscretizationInfo	Discretization information for column of data, returned from a discretization algorithm.
DiscretizationOptions	Options that determine whether and how continuous data should be discretized.
EqualFrequencies	Discretizes continuous data in bins, such that each bin contain a similar number of data points.
EqualIntervals	Discretizes continuous data in bins, such that the bins have equal size.
VariableDefinition	Defines how a variable should be created.
VariableGenerator	Generates variables from a data source.
VariableGeneratorOptions	Options that affect the generation of variables from data.
VariableGeneratorProgressInfo	Interface to provide progress information during data discovery (VariableGenerator).
VariableInfo	Contains the generated Variable and any supplementary information.
VariableInfoCount	Reports weighted and unweighted record counts.
VariableInfoCounts	Reports counts for each variable.
VariableInfoValue	Reports general weighted and unweighted information/statistics about a variable.
WeightedValue	A value (which can be null) and its associated weight (support).

Enum Summary

Enum	Description
DiscretizationMethod	The method (algorithm) to use for discretization of continuous data.
SortOrder	The sort order of states for new discrete variables.