sample_prior_predictive for CLV models

[wd60622]

Is this a workflow that you use @ColtAllen?

This gets inherited from the ModelBuilder (and shows in the docs) but isn't actually implemented, right?

import pandas as pd
from pymc_marketing import clv

data_url = "https://raw.githubusercontent.com/pymc-labs/pymc-marketing/main/data/clv_quickstart.csv"
data = pd.read_csv(data_url)
data["customer_id"] = data.index

beta_geo_model = clv.BetaGeoModel(data=data)
try:
    beta_geo_model.sample_prior_predictive()  
except TypeError:
    ...

[ColtAllen]

I'm actually working on a PR right now that involves plotting prior predictives. This can't be done with the ModelBuilder methods due to the X-Y convention, so I've been using the following approach:

with clv_model.model:
    prior_idata = pymc.sample_prior_predictive()

[wd60622]

Yup, understand that limitation. I plan to rework that in the near future