Gani Nazirov

Unit tests & examples TBD

@RokoToken thank you for reporting this. Could you share the model.zip and small subset of TrainingData.csv for us to repro this issue. thx

@RokoToken, the workaround will be to find the pipeline params from AutoML.NET and re-train same pipeline using either just ML.NET or NimbusML. Also can you try using pipeline.score(...)

@RokoToken sorry for delay, could you share pls titanic.csv file. The model does look ok, so it should work. thx

I was able to debug through and get scoring after few fixes in NimbusML python code (not ML.NET). However return scores are NaN. Script: `from nimbusml import Pipeline, FileDataStream dataset...

Thank you @ianlini, it should be straightforward change to support this. would u like to take it on ?

Hi @pnshinde ! You are very welcome to take this on! Let me know if you need any help, thx

yes, that would be great --- In reply to: [556551197](https://github.com/microsoft/NimbusML/pull/371#issuecomment-556551197) [](ancestors = 556551197)

is this fixed by #144 ?

The approximate design changes are: Specify cache=True parameter in load_model(): ```model.load_model('model.zip', cache=True)``` cache=True forces model to be loaded in ML.NET. This will run a new EntryPoint in ML.NET that loads...