How to evaluate core Model

HI

I have trained 2 models with memorization and keras policy with max histoty as 10 and max history as 5 but some of the stories working in model 1 is not working in model 2 and vice-versa so i got to know about core model evaluation from which i can find optimum value for hyper parameters.But when i give following command it tells me it will support only one policy (i have both keras and memorization policy) in my config file .should i have to remove any one of them.Please let me know.How can i find proper values for hyper parameters using model evaluation.

rasa train core -c config.yml config_2.yml
-d domain.yml -s data --out comparison_models --runs 3
–percentages 0 5 25 50 70 95

what version are you using? We have fixed it in latest version, please take a look at migration guide, cli commands have changed

Thanks

My rasa version is Rasa 1.1.3

Can you please provide that migration guide link

Also please let me know commands from which i can find version for NLU and core separately

here is migration guide: Migration Guide

Rasa NLU and Core are merged into one package now