Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4536#discussion_r24532103
--- Diff: data/mllib/sample_isotonic_regression_data.csv ---
@@ -0,0 +1,101 @@
+4710.28,500.00,1.00
--- End diff --
Shall we make the data in range [0, 1] (to simulate predictions from
logistic regression)? If the weights are always `1.0`, we can remove it from
the sample data.
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