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chore: use separate docker image for mlflow server #101
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ab93
commented
Nov 29, 2022
•
edited
edited
- Use mlflow-skinny instead of mlflow
- Update example dockerfile to have multi-stage; one for udf and one for mlflow
- Update docs to use quay.io images, instead of requiring build
Codecov Report
@@ Coverage Diff @@
## main #101 +/- ##
=======================================
Coverage 95.88% 95.88%
=======================================
Files 20 20
Lines 948 948
Branches 92 92
=======================================
Hits 909 909
Misses 21 21
Partials 18 18
📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more |
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
vigith
approved these changes
Nov 29, 2022
Signed-off-by: Avik Basu <avikbasu93@gmail.com>
ab93
added a commit
that referenced
this pull request
Nov 30, 2022
* Use mlflow-skinny instead of mlflow * Update example dockerfile to have multi-stage; one for udf and one for mlflow * Update docs to use quay.io images, instead of requiring build Signed-off-by: Avik Basu <avikbasu93@gmail.com>
ab93
added a commit
that referenced
this pull request
Nov 30, 2022
* Use mlflow-skinny instead of mlflow * Update example dockerfile to have multi-stage; one for udf and one for mlflow * Update docs to use quay.io images, instead of requiring build Signed-off-by: Avik Basu <avikbasu93@gmail.com>
ab93
added a commit
that referenced
this pull request
Jan 5, 2023
* fix_readme: mention namespace name when applying the pipeline (#88) * fix: allow only patch updates in torch version due to cuda build errors on mac (#90) * chore: bump to v0.2.7 for new release (#91) * docs: updated CHANGELOG.md (#93) * fix: change example pipeline mlflow port (#96) * chore: use separate docker image for mlflow server (#101) * Use mlflow-skinny instead of mlflow * Update example dockerfile to have multi-stage; one for udf and one for mlflow * Update docs to use quay.io images, instead of requiring build * docs: updated CHANGELOG.md (#107) * fix: sklearn base import for scikit learn v1.2 (#112) * docs: updated CHANGELOG.md (#113) * docs: updated CHANGELOG.md (#114) Signed-off-by: Avik Basu <avikbasu93@gmail.com> Co-authored-by: s0nicboOm <i.kushalbatra@gmail.com> Co-authored-by: GitHub <noreply@github.com>
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