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MLflow deployment plugin For IBM-cloud-watson-ml

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The current method of authentication requires setting the credentials in a `.env` and using the environment variables while initializing the class. However, in use cases where we are using this...

support update endpoint to be able to - [ ] change metadata of the deployed model - [ ] change the model object of the given deployment

The notebook only talk about model deployment. Can we add how clean the deployment.

- [ ] ensure the plugin works on different types of OS and for different python version - [ ] ensure tests work for different model types such as scikit-learn,...