fix: change example pipeline mlflow port #96
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Signed-off-by: s0nicboOm <i.kushalbatra@gmail.com>
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## main #96 +/- ##
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Coverage 96.20% 96.20%
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Signed-off-by: s0nicboOm <i.kushalbatra@gmail.com>
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* 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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Signed-off-by: s0nicboOm i.kushalbatra@gmail.com
Change the MLFlow port to point to
defaultnamespace.