Probabilities won't sum to 1 since this expression doesn't incorporate
the probability of the evidence, I imagine? it's constant across
classes so is usually excluded. It would appear as a "-
log(P(evidence))" term.

On Tue, Dec 2, 2014 at 10:44 AM, MariusFS <marius.fete...@sien.com> wrote:
> Are we sure that exponentiating will give us the probabilities? I did some
> tests by cloning the MLLIb class and adding the required code but the
> calculated probabilities do not add up to 1.
>
> I tried something like :
>
>   def predictProbs(testData: Vector): (BDV[Double], BDV[Double]) = {
>     val logProbs = brzPi + brzTheta * new BDV[Double](testData.toArray)
>     val probs = logProbs.map(x => math.exp(x))
>     (logProbs, probs)
>   }
>
> This was because I need the actual probs to process downstream from this...
>
>
>
>
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