Mlflow server #49
Merged
Mlflow server #49
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
@MrGweep this is a working example of how to use MLFLow server with HTTP communication. See if/how you want to merge |
MrGweep
suggested changes
Jun 2, 2023
Co-authored-by: MrGweep <38340672+MrGweep@users.noreply.github.com>
MrGweep
previously approved these changes
Jun 5, 2023
MrGweep
approved these changes
Jun 5, 2023
matbun
added a commit
that referenced
this pull request
Sep 28, 2023
* Migrate to micromamba only * Update env files * Fix lock of nvidia channels * Add mlflow server as tracking URI * Add mlflow server manag. to workflows * Update use-cases/mnist/meta.yml Co-authored-by: MrGweep <38340672+MrGweep@users.noreply.github.com> * Update port --------- Co-authored-by: Matteo Bunino <matteo.bunino@cern.ch> Co-authored-by: MrGweep <38340672+MrGweep@users.noreply.github.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Switch to HTTP communication with MLFlow server. Easily spawn/kill MLFLow server on localhost, by defininf new steps in the DT workflows