Github user oliverpierson commented on a diff in the pull request:
https://github.com/apache/spark/pull/11553#discussion_r57450030
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -49,6 +49,21 @@ private[feature] trait QuantileDiscretizerBase extends
Params
/** @group getParam */
def getNumBuckets: Int = getOrDefault(numBuckets)
+
+ /**
+ * Relative error (see approxQuantile documentation for description).
Must be >= 0.
+ * By default, the relative error will be in the range [0.001, 0.01].
The exact value
+ * is computed based on the number of buckets, decreasing as the number
of buckets
+ * increases. Explicitly setting the relative error will override this
default calculation.
+ * @group param
+ */
+ val relativeError = new DoubleParam(this, "relativeError", "The relative
target precision " +
+ "for approxQuantile",
+ ParamValidators.inRange(0.0, 1.0))
+
+ /** @group Param */
+ def getRelativeError: Double = get(relativeError).getOrElse
--- End diff --
If we use `$(relativeError)` then the default value cannot vary with
`numBuckets`.
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