Class EqualIntervals

Discretizes continuous data in bins, such that the bins have equal size.

Inheritance

System.Object

EqualIntervals

Implements

IDiscretize

Inherited Members

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: BayesServer.Data.Discovery.Discretization

Assembly: BayesServer.Data.Discovery.dll

Syntax

public sealed class EqualIntervals : IDiscretize

Properties

Progress

Gets an instance that receive progress notifications.

Declaration

public IDiscretizeProgress Progress { get; set; }

Property Value

Type	Description
IDiscretizeProgress

Methods

Discretize(IDataReaderCommand, IList<DiscretizationColumn>, DiscretizationAlgoOptions)

Discretizes one or more data columns, that may contain missing (null) values.

Declaration

public IList<DiscretizationInfo> Discretize(IDataReaderCommand dataReaderCommand, IList<DiscretizationColumn> dataColumns, DiscretizationAlgoOptions options)

Parameters

Type	Name	Description
IDataReaderCommand	dataReaderCommand	The data reader command to allow iteration of data.
System.Collections.Generic.IList<DiscretizationColumn>	dataColumns	The data columns that should be discretized and options per column.
DiscretizationAlgoOptions	options	Options governing the overall discretization algorithm. Each data column also has options.

Returns

Type	Description
System.Collections.Generic.IList<DiscretizationInfo>	A number of bins each identified by an interval for each data column.

Discretize(IEnumerable<WeightedValue>, DiscretizationOptions, String)

Discretizes unsorted weighted continuous data that may contain missing (null) values.

Declaration

public IList<Interval<double>> Discretize(IEnumerable<WeightedValue> unsortedData, DiscretizationOptions options, string dataColumn)

Parameters

Type	Name	Description
System.Collections.Generic.IEnumerable<WeightedValue>	unsortedData	The weighted data to discretize.
DiscretizationOptions	options	Options that affect how discretization is performed, such as the algorithm to use.
System.String	dataColumn	The name of the source column. This is only used for error reporting.

Returns

Type	Description
System.Collections.Generic.IList<Interval<System.Double>>	A number of bins each identified by an interval.

Discretize(IEnumerable<Nullable<Double>>, DiscretizationOptions, String)

Discretizes unsorted continuous data that may contain missing (null) values.

Declaration

public IList<Interval<double>> Discretize(IEnumerable<double?> unsortedData, DiscretizationOptions options, string dataColumn)

Parameters

Type	Name	Description
System.Collections.Generic.IEnumerable<System.Nullable<System.Double>>	unsortedData	The data to discretize.
DiscretizationOptions	options	Options that affect how discretization is performed, such as the algorithm to use.
System.String	dataColumn	The name of the source column. This is only used for error reporting.

Returns

Type	Description
System.Collections.Generic.IList<Interval<System.Double>>	A number of bins each identified by an interval.

Implements

IDiscretize