Niels Bantilan

Notes: - lighter: just use the MLFlow + Flyte integration, show the visuals will show up as a Flyte Deck - heavier: integrate with MLFlow server

Hi @Timost! You and @strayMat have my blessing to go ahead with this project! Sounds awesome and valuable to the community. Looks like [autodoc-pandera](https://pypi.org/search/?q=autodoc-pandera&o=) is free on pypi 🙂 Please...

@KiaXdice yeah the str representation of the `Categorical` dtype should be updated. The `__str__` method in the `pandas_engine.Category` class can override the default implementation here: https://github.com/unionai-oss/pandera/blob/main/pandera/engines/pandas_engine.py#L568

do you have capacity to make this change ^^ @KiaXdice ?

closing this PR as stale

fixes https://github.com/flyteorg/flyte/issues/2570. We're going to need to move these changes into the tensorflow plugin @eapolinario

Hi @fzyzcjy would love to support polars! Doing so is currently blocked by https://github.com/unionai-oss/pandera/issues/381, which I'm trying to get done ASAP, as it'll unblock support for a lot of different...

hi all! so since merging the pandera internals re-write: https://github.com/unionai-oss/pandera/pull/913 Support for polars is technically unblocked! I'm still working on the docs for extending pandera with custom schema specs and...

Cool, thanks for the discussion all! So re: the polars-support roadmap, I'll plan on working on the ibis backend integration as a n=2 sample for how well the pandera core/backend...

> One thing that would also be cool is validating polars LazyFrames. A LazyFrame is a promise of a computation/query plan. But polars knows the schema for every step in...