Entz Yeung

Dear LMMM Team, I want to express my sincere appreciation for the hard work you've dedicated to creating this remarkable model. It's truly impressive and has proven to be user-friendly...

@shubhamgupta568 thank you for dropping by, here is the link to the [notebook](https://drive.google.com/file/d/1NJRoyaLD3mkyCpRKESzoCjYknssAs_7HbV/view?usp=sharing). please let me know why was that and which pieces of code should be corrected. Appreciated!

Thank you @shubhamgupta568 for the solution, i am running the code again now. The first run gave me the same distribution, so i am running it again. WIll keep you...

Hello @shubhamgupta568 , I have tried many times, and have made sure both costs, and media_data are unscaled jnp array. Here are the results: As you can see, the budget...

I haven't yet set it directly. I was just using default. In the predict function? On Fri, 12 Jan 2024, 06:31 Shubham Gupta, ***@***.***> wrote: > I think the reason...

Hello @shubhamgupta568 , here is my code: ``` solution, kpi_without_optim, previous_media_allocation = optimize_media.find_optimal_budgets( n_time_periods= n_time_periods, media_mix_model= mmm, extra_features= extra_features_test[:n_time_periods],#### transformed, and the forecasted period [:n_time_periods] budget= budget, prices= prices, media_scaler...

Thank you @santiarias, here you go. and i have another discussion going on: [here](https://github.com/google/lightweight_mmm/issues/294#issuecomment-1887982811)

No problem at all, but I m outside right now, I will send once I go back home. Thank you @santiarias

@santiarias here you go! It's looks like a workable model to my eyes, maybe i am wrong.

@santiarias please feel free to let me know if you want some extra info about my model anytime.