Uses of Class
com.bayesserver.data.discovery.DiscretizationOptions

Packages that use DiscretizationOptions

Package	Description
com.bayesserver.data.discovery

Uses of DiscretizationOptions in com.bayesserver.data.discovery

Methods in com.bayesserver.data.discovery that return DiscretizationOptions

Modifier and Type	Method	Description
DiscretizationOptions	VariableDefinition.getDiscretizationOptions()	Gets options that specify how continuous data should be discretized, if DiscretizationMethod is not DiscretizationMethod.NONE.
DiscretizationOptions	DiscretizationColumn.getOptions()	Gets the discretization options for this column of data.

Methods in com.bayesserver.data.discovery with parameters of type DiscretizationOptions

Modifier and Type	Method	Description
List<Interval<Double>>	Clustering.discretize(Iterable<Double> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted continuous data that may contain missing (null) values.
List<Interval<Double>>	Discretize.discretize(Iterable<Double> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted continuous data that may contain missing (null) values.
List<Interval<Double>>	EqualFrequencies.discretize(Iterable<Double> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted continuous data that may contain missing (null) values.
List<Interval<Double>>	EqualIntervals.discretize(Iterable<Double> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted continuous data that may contain missing (null) values.
List<Interval<Double>>	Clustering.discretizeWeighted(Iterable<WeightedValue> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted weighted continuous data that may contain missing (null) values.
List<Interval<Double>>	Discretize.discretizeWeighted(Iterable<WeightedValue> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted weighted continuous data that may contain missing (null) values.
List<Interval<Double>>	EqualFrequencies.discretizeWeighted(Iterable<WeightedValue> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted weighted continuous data that may contain missing (null) values.
List<Interval<Double>>	EqualIntervals.discretizeWeighted(Iterable<WeightedValue> unsortedData, DiscretizationOptions options, String dataColumn)	Discretizes unsorted weighted continuous data that may contain missing (null) values.