Creating a model
Creating a model in a project that uses ML Runtimes is similar to model creation with a legacy engine, but you must use a different parameter to specify the Runtime ID.
--runtimeId= parameter to specify a Runtime ID (instead of using the
--engineImageId= and --kernel= parameters used for a
legacy engine).
To create a model in a project that uses ML Runtimes use the
--runtimeId=
parameter to specify a Runtime ID.
For example:
cdswctl models create --targetFilePath=predict.py --targetFunctionName=predict
--projectId=4 --name=created-using-cdswctl --description=created-using-cdswctl
--memoryMb=1024 --authEnabled --cpuMillicores=250 --autoBuildModel --autoDeployModel
--examples='{"request":{"petal_length":1}}' --runtimeId=1
