Github user vlad17 commented on a diff in the pull request:
https://github.com/apache/spark/pull/14547#discussion_r78485087
--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala ---
@@ -465,33 +497,64 @@ private[ml] trait GBTParams extends
TreeEnsembleParams with HasMaxIter with HasS
}
private[ml] object GBTClassifierParams {
- // The losses below should be lowercase.
- /** Accessor for supported loss settings: logistic */
- final val supportedLossTypes: Array[String] =
Array("logistic").map(_.toLowerCase)
+ // The values below should be lowercase.
+ /** Accessor for supported loss settings: logistic, bernoulli */
+ final val supportedLossTypes: Array[String] = Array("logistic",
"bernoulli")
+ /** Accessor for support entropy settings: loss-based or variance */
+ final val supportedImpurities: Array[String] = Array("loss-based",
"variance")
+ final def getLossBasedImpurity(loss: String): OldImpurity = loss match {
+ case "logistic" | "bernoulli" => ApproxBernoulliImpurity
+ case _ => throw new RuntimeException(
+ s"GBTClassifier does not have loss-based impurity for loss ${loss}")
+ }
}
private[ml] trait GBTClassifierParams extends GBTParams with
TreeClassifierParams {
/**
+ * Criterion used for information gain calculation (case-insensitive).
+ * Also used for terminal leaf value prediction.
+ * Supported: "loss-based" (default) and "variance"
+ *
+ * @group param
+ */
+ override val impurity: Param[String] = new Param[String](this,
"impurity", "Criterion used for" +
+ " information gain calculation (case-insensitive). Supported options:"
+
+ s" ${GBTClassifierParams.supportedImpurities.mkString(", ")}",
+ (value: String) =>
GBTClassifierParams.supportedImpurities.contains(value.toLowerCase))
+
+ /** (private[ml]) convert new impurity to old impurity */
--- End diff --
done
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