Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7672#discussion_r35881182
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/NaiveBayesSuite.scala
---
@@ -46,6 +51,44 @@ class NaiveBayesSuite extends SparkFunSuite with
MLlibTestSparkContext {
assert(model.theta.map(math.exp) ~== thetaData.map(math.exp) absTol
0.05, "theta mismatch")
}
+ def expectedMultinomialProbabilities(model: NaiveBayesModel, feature:
Vector): Vector = {
--- End diff --
Like above, the ml.NaiveBayesModel parameters are all based on Vector and
Matrix which is different from the old one, so I just want to make some
facility test functions on this kinds of model rather than converting it to old
style model.
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