fix: sklearn base import for scikit learn v1.2 #112
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@@ Coverage Diff @@
## main #112 +/- ##
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- Coverage 96.41% 96.10% -0.31%
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Files 25 25
Lines 975 975
Branches 92 92
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- Hits 940 937 -3
- Misses 19 21 +2
- Partials 16 17 +1
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Signed-off-by: Avik Basu <avikbasu93@gmail.com>
Signed-off-by: Avik Basu <avikbasu93@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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Fixing scikit-learn v1.2 onwards, removal of
_OneToOneFeatureMixin.