Colt Allen

For MCMC fits this can be done via `sample_config`: ``` mcmc_fit = ParetoNBDModel(df,sampler_config = {"idata_kwargs": {"log_likelihood": True}}) ``` WAIC doesn't really apply for MAP fits though.

`BetaGeoModel` is currently using a Potential, which precludes the use of an important evaluation function. If this were implemented along with a data simulation method, I wonder if it would...

Hey @billlyzhaoyh, When this happens, use [model.thin_fit_result](https://www.pymc-marketing.io/en/stable/api/generated/pymc_marketing.clv.models.basic.CLVModel.thin_fit_result.html#pymc_marketing.clv.models.basic.CLVModel.thin_fit_result). We've been meaning to add an example for this to the Quickstart per https://github.com/pymc-labs/pymc-marketing/issues/448. Also, this shouldn't ever happen with a MAP fit...

@maresb after giving this some thought, I've decided a Codespaces setup isn't worth our time. The new streamlit app renders this less pertinent, and the Codespaces free tier also runs...

Is it common for model parameters to be incorrectly specified? If not I think `pydantic` is overkill. It's great for data pipelines, but although `pydantic` can validate if an input...

I did look at it, and abandoned editing my previous post when you replied haha. I've used `pandera` in the past for validating dataframes, but feel it's too specialized to...

Instead of adding separate covariate models, I think it would save us a lot of redundancy to simply extend the existing `BetaGeoModel` and upcoming [`ParetoNBDModel`](https://github.com/pymc-labs/pymc-marketing/issues/135). The only additional code required...

Thanks @navish92, Covariate support for `BetaGeoModel` will be added after https://github.com/pymc-labs/pymc-marketing/issues/527 is resolved. If you have any feedback on that issue I'd be interested, because end-user convenience is a significant...

> Is `ParetoNBDModel` setup to accommodate time invariant covariates at the moment? From what I could understand, it wasnt yet? Correct - it is not. That PR is currently awaiting...

Hey @NathanielF, That is the same paper; thanks for finding it. If you want to look into getting this added, that'd be great! The same model could probably even be...