DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
On version tag creation, the python publish workflow failed.
This PR modifies the workflow so that it can be run again and it can fetch the previous tags.
Also it modifies pyproject.toml such that the version number returned by poetry-dynamic-versioning is a simple string that is exactly the tag version number.
On version tag creation, the python publish workflow failed.
This PR modifies the workflow so that it can be run again and it can fetch the previous tags. Also it modifies pyproject.toml such that the version number returned by
poetry-dynamic-versioningis a simple string that is exactly the tag version number.Based on: https://github.com/mtkennerly/poetry-dynamic-versioning/issues/78