Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4087#discussion_r27426350
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
@@ -177,10 +257,27 @@ class NaiveBayes private (private var lambda: Double)
extends Serializable with
this
}
- /** Get the smoothing parameter. Default: 1.0. */
+ /** Get the smoothing parameter. */
def getLambda: Double = lambda
/**
+ * Set the model type using a string (case-sensitive).
+ * Supported options: "Multinomial" and "Bernoulli".
+ * (default: Multinomial)
+ */
+ def setModelType(modelType:String): NaiveBayes = {
+ if (NaiveBayes.supportedModelTypes.contains(modelType)) {
--- End diff --
Please use ```require``` here as well.
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