diff options
Diffstat (limited to 'docs/mllib-isotonic-regression.md')
| -rw-r--r-- | docs/mllib-isotonic-regression.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-isotonic-regression.md b/docs/mllib-isotonic-regression.md index d90905a86a..ca84551506 100644 --- a/docs/mllib-isotonic-regression.md +++ b/docs/mllib-isotonic-regression.md @@ -27,7 +27,7 @@ best fitting the original data points. [pool adjacent violators algorithm](http://doi.org/10.1198/TECH.2010.10111) which uses an approach to [parallelizing isotonic regression](http://doi.org/10.1007/978-3-642-99789-1_10). -The training input is a RDD of tuples of three double values that represent +The training input is an RDD of tuples of three double values that represent label, feature and weight in this order. Additionally IsotonicRegression algorithm has one optional parameter called $isotonic$ defaulting to true. This argument specifies if the isotonic regression is |