BayesServer.Data.Discovery.Discretization Namespace 
Class  Description  

Clustering 
Discretizes continuous data in bins, using a probabilistic clustering algorithm.
 
DiscretizationAlgoOptions 
Options for a discretization algorithm. Each DiscretizationColumn also has options that can be set.
 
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.

Structure  Description  

WeightedValue 
A value (which can be null) and its associated weight (support).

Interface  Description  

IDiscretize 
Interface which a discretization algorithm must implement.
 
IDiscretizeProgress 
Interface to provide progress information during discretization.
 
IDiscretizeProgressInfo 
Interface to provide progress information during discretization.
