06-25-2021 03:46 PM
You could mount an s3 bucket in the workspace and save your model using the mounts DBFS path
For e.g
modelpath = "/dbfs/my-s3-bucket/model-%f-%f" % (alpha, l1_ratio) mlflow.sklearn.save_model(lr, modelpath)
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