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