How different? I think quite small variations are to be expected. On Wed, Jul 20, 2022 at 9:13 AM Roger Wechsler <mr.muta...@gmail.com> wrote:
> Hi! > > We've been using Spark 3.0.1 to train Logistic regression models > with MLLIb. > We've recently upgraded to Spark 3.3.0 without making any other code > changes and noticed that the trained models are different as compared to > the ones trained with 3.0.1 and therefore behave differently when used for > prediction. > > We went through the release notes and through the API changes to see if > the default behaviour changed, but we could not find anything. Do you know > what changed between version 3.01 and 3.3.0? And if so, how could we > guarantee the same behaviour as in 3.0.1? > > Thanks for your help! > > Roger >
