From 5689c1e03200e2255472ab197d9a3e430f6f9b95 Mon Sep 17 00:00:00 2001 From: zhengruifeng Date: Thu, 31 Oct 2019 10:39:17 +0800 Subject: [PATCH] update doc --- .../org/apache/spark/ml/feature/QuantileDiscretizer.scala | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala b/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala index df23a1b26f4ff..216d99d01f2f7 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala @@ -94,7 +94,8 @@ private[feature] trait QuantileDiscretizerBase extends Params * parameter. If both of the `inputCol` and `inputCols` parameters are set, an Exception will be * thrown. To specify the number of buckets for each column, the `numBucketsArray` parameter can * be set, or if the number of buckets should be the same across columns, `numBuckets` can be - * set as a convenience. + * set as a convenience. Note that in multiple columns case, relative error is applied to all + * columns. * * NaN handling: * null and NaN values will be ignored from the column during `QuantileDiscretizer` fitting. This