Github user neggert commented on the issue:
https://github.com/apache/spark/pull/15018
Looks like the new scikit-learn implementation suffers from a similar
problem to the one that the original Spark implementation had. I left them a
note pointing it out.
Right now I'm working on implementing what's in "Minimizing Separable
Convex Functions Subject to Simple Chain Constraints", by Best, Chakravarti,
and Ubhaya. Running down the referecence trail, it looks like the original
algorithm is in "Projections onto Order Simplexes" by Grotzinger and Witzgall,
and this particular formulation of it is originally in "Active set algorithms
for isotonic regression; A unifying framework" by Best and Chakravarti.
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