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%iKnow.Classification.Methods.VectorSpace

abstract class %iKnow.Classification.Methods.VectorSpace extends %iKnow.Classification.Methods.Base

This Builder Method implementation generates category term weights as a vector per category that exists in the same vector space as the document term vector. The similarity between the document vector and each of the category vectors can then be calculated using euclidean distance or cosine similarity (angle). Alternatively, these weights can be used for a linear regression formula, calculating a score rather than a similarity/distance.

A combination of global term weights (across the corpus), local term weights (within each category) and normalization (per category) is used to calculate these category vectors.

Property Inventory

Method Inventory

Properties

property CategoryGlobalTermWeights as %String (VALUELIST = ",none,IDF") [ InitialExpression = "IDF" ];
The corpus-wide relevancy factor to take into account when calculating term weights
Property methods: CategoryGlobalTermWeightsDisplayToLogical(), CategoryGlobalTermWeightsGet(), CategoryGlobalTermWeightsIsValid(), CategoryGlobalTermWeightsLogicalToDisplay(), CategoryGlobalTermWeightsLogicalToOdbc(), CategoryGlobalTermWeightsNormalize(), CategoryGlobalTermWeightsSet()
property CategoryLocalTermMetric as %String (VALUELIST = ",frequency,spread") [ InitialExpression = "spread" ];
The metric to use for calculating the local term weights
Property methods: CategoryLocalTermMetricDisplayToLogical(), CategoryLocalTermMetricGet(), CategoryLocalTermMetricIsValid(), CategoryLocalTermMetricLogicalToDisplay(), CategoryLocalTermMetricLogicalToOdbc(), CategoryLocalTermMetricNormalize(), CategoryLocalTermMetricSet()
property CategoryLocalTermWeights as %String (VALUELIST = ",binary,linear,logarithmic") [ InitialExpression = "linear" ];
The per-category term weight factor
Property methods: CategoryLocalTermWeightsDisplayToLogical(), CategoryLocalTermWeightsGet(), CategoryLocalTermWeightsIsValid(), CategoryLocalTermWeightsLogicalToDisplay(), CategoryLocalTermWeightsLogicalToOdbc(), CategoryLocalTermWeightsNormalize(), CategoryLocalTermWeightsSet()
property CategoryNormalization as %String (VALUELIST = ",none,cosine") [ InitialExpression = "none" ];
Whether and how to normalize the category vectors
Property methods: CategoryNormalizationDisplayToLogical(), CategoryNormalizationGet(), CategoryNormalizationIsValid(), CategoryNormalizationLogicalToDisplay(), CategoryNormalizationLogicalToOdbc(), CategoryNormalizationNormalize(), CategoryNormalizationSet()
property CustomTermWeights [ MultiDimensional ];
Property methods: CustomTermWeightsDisplayToLogical(), CustomTermWeightsGet(), CustomTermWeightsIsValid(), CustomTermWeightsLogicalToDisplay(), CustomTermWeightsLogicalToOdbc(), CustomTermWeightsNormalize(), CustomTermWeightsSet()

Methods

method %BuildClassificationMethod(ByRef pClassifier As %iKnow.Classification.Definition.Classifier, pVerbose As %Boolean = 1, pIncludeBuilderParams As %Boolean = 1) as %Status
method %LoadFromModel(pDefinition As %iKnow.Classification.Definition.Classifier) as %Status
method %OnRemoveTerm(pIndex As %Integer) as %Status
Callback invoked whenever an entire term at an index has been removed
method %SetCustomWeight(pIndex As %Integer, pCategory As %String, pCustomWeight As %Double) as %Status
Sets a custom weight factor for the term at pIndex in pCategory.
method %SetCustomWeights(pIndex As %Integer, ByRef pCustomWeights) as %Status

Inherited Members

Inherited Properties

Inherited Methods

Subclasses