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  • Through python code using the method

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Having a MLFlow project you can run the train of a model with the following command

mlflow run {folder project} -P {mlflowparams}

For example running the sklearn example of wine:

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And watch this execution in the controlpanel and explore it:

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And see the artifact of the project and the model itself

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mlflow-onesaitplatform-plugin