Options
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
06-25-2021 10:29 AM
The default location or MLflow artifacts is on dbfs, but I would like to save my models to an alternative location. Is this supported, and if it is how can I accomplish it?
Labels:
- Labels:
-
Default Location
-
MlFlow
-
MLflow Artifacts
1 ACCEPTED SOLUTION
Accepted Solutions
Options
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
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)
1 REPLY 1
Options
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
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)