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unseenLabels.foreach { l =>
println(l.value)
println(l.caseFactorProportions(model))
println("Summary proportions = " + summary.marginal(l).proportions)
}
And I see, equal proportions for Summary marginal proportions.
To be clear, the output looks something like below, for example :
name-beg Proportions(0.6282789584735522,0.19915230341850754,0.0575229127026467,0.0575229127026467,0.0575229127026467) Summary proportions = Proportions(0.2,0.2,0.2,0.2,0.2)
My question is, are the caseFactorProportions, the probability / confidence score of different Label assignments to a particular token?
For example, in above case, say if the token was Namrata, and Label Domain = [name-beg, name-int, company-beg,company-int,company-int]
After inference,
the probability of Namrata being a name-beg = 62.82%
probability of Namrata being a name-int = 19.91%
probability of Namrata being company-beg = 5.75%
so on...
??
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