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Bayesian Causal Forests for insurance pricing — heterogeneous treatment effects with FCA audit reporting
pip install insurance-bcf
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.1>=3.7>=1.24>=2.0>=1.3<0.5.0,>=0.4.0insurance-bcf publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .
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