Log MLFLow runs

Vectice provides an easy way to retrieve already saved information from your MLflow runs and document them into Vectice.

To log model information from MLFlow use the following lines of code:

# Use the following model wrapper to retrieve your MLFlow run artifacts
model = Model.mlflow(run_id='your_run_id', client=mlflow, url='https://your_url.com')

# Log MLFlow artifacts in Vectice
iteration.log(model)

You can access your MLFlow run artifacts in Vectice where you will see the model version metrics, properties, and a link to the MLFlow UI of your run.

Find this information by navigating to Models > Select model name > Select version.

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