Hi Janardhan, in general, we prefer to compare against R because it helps detecting issues that are common across different optimizers and execution modes. So for small scripts like PCA, I would recommend to simply create an R script, which should be very similar to the dml script.
However, for more complex scripts with lots of table, removeEmpty, and matrix-vector operations, creating the R scripts can be tedious and error-prone because it requires additional operations such as vector replications. For such case (including some existing tests), we could indeed compare the different modes (e.g., w/ and w/o codegen). Let's decide that case by case. Regarding MLContext, yes it would be good to extend the algorithm test coverage by simply reusing the dml and R scripts from the existing application or codegen tests. Regards, Matthias On Fri, Mar 9, 2018 at 9:52 PM, Janardhan Pulivarthi < janardhan.pulivar...@gmail.com> wrote: > Hi, > > Matthias - > 1. We are checking the values of codegen algorithms with the R script, but > can we compare > > ` pca script with [codegen_disabled] = pca script with [codegen_enabled]` > > > Deron - > 1. The same way can we compare the result through MLContext invocation > with other mode of running the script. > > > Thanks, > Janardhan >