Re: [MLlib][Test] Smoke and Metamorphic Testing of MLlib

2018-08-23 Thread Steffen Herbold
e centered around a mean of 0 to work best. I haven’t read the paper in detail, but basically it would be good to account for randomized algorithms as well as various model assumptions, and make sure the differences in results in these tests are statistically significant. Matei -- Dr. Steff

[MLlib][Test] Smoke and Metamorphic Testing of MLlib

2018-08-22 Thread Steffen Herbold
parameters, other algorithm types like clustering, or more complex algorithm specific metamorphic tests? I am looking forward to your feedback. Best regards, Steffen Herbold [1] http://user.informatik.uni-goettingen.de/~sherbold/atoml-results/ [2] https://github.com/sherbold/atoml -- Dr. Steffen