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Signed-off-by: mike0sv <mike0sv@gmail.com>
* Specify issues for todos Signed-off-by: mike0sv <mike0sv@gmail.com> * create few issues and add links to them in code, making tests work with `example-mlem` repo Co-authored-by: Alexander Guschin <1aguschin@gmail.com>
* add GHA to release on pypi, fix some tests
Signed-off-by: mike0sv <mike0sv@gmail.com>
# Conflicts: # mlem/api/commands.py # mlem/contrib/xgboost.py # mlem/core/dataset_type.py # mlem/core/requirements.py # mlem/utils/root.py
closes #21 Signed-off-by: mike0sv <mike0sv@gmail.com>
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Cool! I've read the code and left some questions.
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expected_requirements = {"catboost", "pandas", "numpy"} |
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BTW, why we have pandas here and don't have it in tests for sklearn, lighgbm, xgboost? Does it come from "install_requires" each library has?
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it's because we use pandas data for input
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Ok, so ideally we would have to add tests for both numpy and pandas data, right?
Codecov Report
@@ Coverage Diff @@
## main #62 +/- ##
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Coverage ? 75.97%
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Files ? 52
Lines ? 3038
Branches ? 0
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Hits ? 2308
Misses ? 730
Partials ? 0 Continue to review full report at Codecov.
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🔥
closes #21