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sientia-dataops-laborious_t…/requirements.txt
PedroHMCosme f7b457e215 chore(deps): bump scikit-learn pin to 1.8.0 to match basic runtime
The sientia-dev test cluster's "basic" plugin runtime declares
scikit-learn==1.8.0, installed on top of this repo's own
requirements.txt at container startup. The old scikit-learn==1.5.2
pin here got silently overwritten by that later install, but the
son-approx model's pickled LinearRegression wrapper was recreated
against a version needing sklearn 1.8's API — mismatched envs caused
`ImportError: cannot import name 'validate_data' from
sklearn.utils.validation` on model load (found while testing
SIENTIAPDE-1986 against the real cluster). Matching the pin here to
1.8.0 removes the redundant conflicting install.
2026-09-02 08:22:38 -03:00

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temporalio
psycopg2-binary
sqlalchemy
asyncua==1.0.6
redis
sientia_do>=1.12.1
sientia_model>=0.12.0
prometheus-client
botocore
boto3
s3fs
pyarrow
kaleido
hyperopt
shap
pycurl
scipy<1.14.0
scikit-learn==1.8.0