Re: MLlib Naive Bayes classifier confidence
That was it, Thanks. (Posting here so people know it's the right answer in case they have the same need :) ). sowen wrote 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. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-Naive-Bayes-classifier-confidence-tp18456p20361.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: MLlib Naive Bayes classifier confidence
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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