ITO Takafumi comments

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                                            ITO Takafumi

GPU Performance Issues

I have same issue when using Lightweight-MMM on Google Colab. I'm trying to compare Lightweight-MMM and Robyn, using same data: `dt_simulated_weekly` by Robyn library. dt_simulated_weekly has 208 records.

TypeError: where() got some positional-only arguments passed as keyword arguments: 'condition, x, y'

Hi, I have same issue. [7/13/24 edit] Thanks for [@jamesvrt](https://github.com/google/lightweight_mmm/issues/321#issuecomment-2195724411), it worked in my environment (pipenv virtual environment Python 3.10)!

Recovering adstock parameters from simulated dataset?

@NataliaVConnolly Hi, I want to reproduce your result. Can you share your LightweightMMM code, notebook or dummy data created by `siMMMulator`?

Choosing between the three model types - carryover/adstock/hill-adstock

@rajat-barve I hope [this article](https://www.thinkwithgoogle.com/marketing-strategies/data-and-measurement/art-of-marketing-mix-models/) will help you. In my experience, it should have discussion with stakeholders which model result is convincible in their business.