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BayesServer.Data.Discovery.Discretization Namespace

Contains classes and interfaces for discretizing continuous data.
Classes
  ClassDescription
Public classClustering
Discretizes continuous data in bins, using a probabilistic clustering algorithm.
Public classDiscretizationAlgoOptions
Options for a discretization algorithm. Each DiscretizationColumn also has options that can be set.
Public classDiscretizationColumn
Identifies a column of data and how it is to be discretized.
Public classDiscretizationInfo
Discretization information for column of data, returned from a discretization algorithm.
Public classDiscretizationOptions
Options that determine whether and how continuous data should be discretized.
Public classEqualFrequencies
Discretizes continuous data in bins, such that each bin contain a similar number of data points.
Public classEqualIntervals
Discretizes continuous data in bins, such that the bins have equal size.
Structures
  StructureDescription
Public structureWeightedValue
A value (which can be null) and its associated weight (support).
Interfaces
  InterfaceDescription
Public interfaceIDiscretize
Interface which a discretization algorithm must implement.
Public interfaceIDiscretizeProgress
Interface to provide progress information during discretization.
Public interfaceIDiscretizeProgressInfo
Interface to provide progress information during discretization.