Hi @kuldeepM, I tried to run a scikit RandomForestClassifier as ONNX model on the virtual core as you did using the "ctrlx-automation-sdk/samples-python/datalayer.provider.all-data" python sample, which is quite similar to the "ctrlx-automation-sdk/samples-python/datalayer.provider". In debug mode everything works well, I can see the inputs and predicted output of my model in the datalayer of the virtual core. But when I build the snap and install it from the .snap file on the virtual core, it does not work anymore. The snap doesn't even create the input and output nodes in the datalayer. Do you have an idea what's the issue here? I also noticed that at the beginning you say that there must be changes applied to setup.py, but I can't see where you describe them. Thanks in advance :-).
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