Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update mlflow.md #3843

Merged
merged 1 commit into from
Jan 11, 2022
Merged

Update mlflow.md #3843

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion doc/source/servers/mlflow.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,9 @@ create your own image with a fixed set of dependencies.
This image can then be re-used across different model versions using the same
pre-loaded environment.

Note that installation of `conda` packages may take longer than the `livenessProbe` limits.
This can be worked around by setting longer limits, see our [elasticnet wine manifest](https://github.com/SeldonIO/seldon-core/blob/master/servers/mlflowserver/samples/elasticnet_wine.yaml) for an example.

## Examples

An example for a saved Iris prediction model can be found below:
Expand Down Expand Up @@ -283,4 +286,4 @@ print(json.dumps(response.json(), indent=2))

### Caveats
- The version of `mlserver` installed in the conda environment will need to match the supported version in `seldon-core`. We are working on tooling to make this more seamless.
- Check the caveats of using [`conda-pack`](https://conda.github.io/conda-pack/#caveats)
- Check the caveats of using [`conda-pack`](https://conda.github.io/conda-pack/#caveats)