Using Models Outside DSS

[ryanraasch]

I built/trained/saved a model using DSS and then saved it to my local machine as pickle file. However, when I try to "unpickle" and run the model locally, I get an error saying "ModuleNotFoundError: No module named 'dataiku'". Are there any workarounds to use dataiku models outside of dataiku? I tried 'import dataikuapi as dataiku' before loading the model, but I'm missing the actual dataiku python library. I would like to be able to use the model without having to extract the internal dataiku library that comes with DSS.

Thanks in advance for your help!

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Operating system used: Windows

[JordanB]

Hi @ryanraasch,

Dataiku APIs are made of two packages, "dataiku-api-client" (module name dataikuapi) and "dataiku-internal-client" (module name dataiku). The latter is not available from pypi repositories and must be downloaded from DSS itself, as indicated here: https://doc.dataiku.com/dss/latest/python-api/outside-usage.html#in-a-requirements-txt-file

Thanks!

Jordan

[ryanraasch]

Thank you for your response! I was trying to avoid downloading from DSS if possible.

[gambinoga · Accepted solution]

Hello @ryanraasch,

Since Dataiku 11, lab models as well as saved models are now available to be exported in Python fully outside of DSS, see https://doc.dataiku.com/dss/latest/machine-learning/models-export.html#export-to-python

Indeed, you can export the model to a zip file that can then be used to score the model in any Python code.

This scoring uses the "dataiku-scoring" open source Python package, available on pypy.

However, this export is now only available in the Enterprise license.

Thanks !

Gregoire

[ryanraasch]

Thank you! I thought I was using an enterprise license but apparently not. This is the sort of thing I am looking for. I appreciate your help.