Class %DeepSee.extensions.utils.LDA

persistent class %DeepSee.extensions.utils.LDA extends %Library.Persistent, %DeepSee.extensions.BlackBox

This code serves for calculating a linear discriminant analysis (LDA)

Parameters	Properties	Methods	Queries	Indices	ForeignKeys	Triggers
	9	13		1

Summary

Properties
Confusion	Dim	GroupMean	Groups
NGroups	Name	PooledInverseCovariance	Probability
UseMahalanobisDistance

Methods
%%CLASSNAMELogicalToStorage	%%CLASSNAMEStorageToLogical	%AddToSaveSet	%AddToSyncSet
%BMEBuilt	%BuildIndicesAsync	%BuildIndicesAsyncResponse	%CheckConstraints
%CheckConstraintsForExtent	%ClassIsLatestVersion	%ClassName	%ComposeOid
%ConstructClone	%Delete	%DeleteExtent	%DeleteId
%DispatchClassMethod	%DispatchGetModified	%DispatchGetProperty	%DispatchMethod
%DispatchSetModified	%DispatchSetMultidimProperty	%DispatchSetProperty	%Exists
%ExistsId	%Extends	%GUID	%GUIDSet
%GetLock	%GetParameter	%GetSwizzleObject	%Id
%InsertBatch	%IsA	%IsModified	%IsNull
%KillExtent	%KillExtentData	%LoadFromMemory	%LockExtent
%LockId	%New	%NormalizeObject	%ObjectIsNull
%ObjectModified	%Oid	%OnBeforeAddToSync	%OnDeleteFinally
%OnDetermineClass	%OnOpenFinally	%OnSaveFinally	%Open
%OpenId	%OriginalNamespace	%PackageName	%PhysicalAddress
%PurgeIndices	%Reload	%RemoveFromSaveSet	%ResolveConcurrencyConflict
%RollBack	%Save	%SaveDirect	%SaveIndices
%SerializeObject	%SetModified	%SortBegin	%SortEnd
%SyncObjectIn	%SyncTransport	%UnlockExtent	%UnlockId
%ValidateIndices	%ValidateObject	%ValidateTable	Create
GetClassDef	GetDF	GetDataLocation	GetMahalanobisDistance
GetMajorContributors	Test	getConfusionMatrixForTestSet	getCovector
getSensitivity	getSpecificity	predict	printConfusionMatrix

Properties

• property Confusion [ MultiDimensional ];

• property Dim as %Integer;

• property GroupMean as %Double [ MultiDimensional ];

• property Groups [ MultiDimensional ];

• property NGroups as %Integer;

• property Name as %String(MAXLEN=256);

• property PooledInverseCovariance as %Double [ MultiDimensional ];

• property Probability as %Double [ MultiDimensional ];

• property UseMahalanobisDistance as %Boolean [ InitialExpression = 0 ];

Methods

• method Create(N As %Integer, M As %Integer, ByRef data As %Double, ByRef groups As %Integer, p As %Boolean) as %Status

• method GetDF(ByRef x, Output fv, verobse As %Boolean = 1) as %Status

• method GetMahalanobisDistance(ByRef x, Output fv, verobse As %Boolean = 0) as %Status

• method GetMajorContributors(targetPos As %String, targetNeg As %String, margin As %Double, Output listPos As %List, Output listNeg As %List) as %Status

• classmethod Test()

• method getConfusionMatrixForTestSet(rs As %ResultSet, i1 As %Integer, dim As %Integer, Output C, Output r As %Double) as %Status

getConfusionMatrixForTest

• method getCovector(target As %String, Output V) as %Status

• method getSensitivity(g, Output sc As %Status, ByRef confusion="") as %Double

• method getSpecificity(g, Output sc As %Status, ByRef confusion="") as %Double

• method predict(ByRef x, Output sc As %Status, Output maxf As %Double, Output f) as %String

• method printConfusionMatrix(ByRef confusion="") as %Status

Indices

•index (NameIdx on Name) [PrimaryKey,Unique];

Class Reference IRIS for UNIX 2024.1.2
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