K B

[example.zip](https://github.com/user-attachments/files/18826277/example.zip) Please find attached @wd60622

> same issue here! I remove "# if model.id != idata.attrs["id"]: # raise ValueError( # f"The file '{fname}' does not contain an inference data of the same model or configuration...

> [example.zip](https://github.com/user-attachments/files/18826277/example.zip) Please find attached @wd60622 @williambdean were you able to reproduce?

I have a few questions: - Can Elo-MMR (theoretically at least) provide probability that a 2-player will be draw (like TrueSkill provides)? Basically, I'm looking for a metric for quality...

It would be great if some workaround could be provided for 0.11.0 with `pytensor.config.floatX = 'float32'` so that `optimize_budget` works at least. A proper fix for why the original issue...

Environment: ``` conda create -n mmm python=3.11.4 anaconda conda activate mmm conda install m2w64-toolchain pip install pymc-marketing==0.11.0 arviz numpyro CausalPy conda install jupyter numpy pandas matplotlib seaborn statsmodels scikit-learn cromp...

@williambdean Hope the above info helps.

Additional info: I've tried adding `allow_input_downcast=True` in `pymc_marketing\mmm\constraints.py:93`. Then it fails elsewhere in the code for similar dtype mismatch issue.

@williambdean Hope you've been able to reproduce the issue with the minimal code block I shared and the environment I shared. Kindly please feel free if you need anything else.

But without the workaround, the `fit` method doesn't work, as issue #1427 mentions. Have you tried with ```'nuts_sampler': 'numpyro'``` as mentioned in my minimal code block? Not sure what's missing.