lightweight_mmm
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LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Hello reader, I am curious about how people deal with this always-present problem. Is there a way to do Weighted/Generalized LS in LMMM?
The NumPyro site uses this casing (capital N and P), so this PR makes this consistent https://num.pyro.ai/en/stable/index.html. The changes shouldn't affect any code where the casing would break a function...
Hello everyone, I want to include as extra factors the carbon emission of each of the channels, and i want the model to consider its negative impact when identifying the...
Currently we can get the total number of conversions pre and post optimization. We also have the post optimization budget recommendations for every channel. Is it possible to obtain a...
Hi All, I have some questions about setting the media_priors. 1) Is there a way to change the default HalfNormal distribution to something else, say, Gamma? I ask because suppose...
Hello there, First of all, huge thanks for this awesome project. I was wondering : would it be possible to extract the contribution of each media channel when using the...
Hi, QQ on plot_bars_media_metrics function. Take this sample graph from [demo](https://github.com/google/lightweight_mmm/blob/main/examples/simple_end_to_end_demo.ipynb), the contributions form media 0/1/2 are around 0.01,0.13,0.06. How to understand these numbers? 1. Are these number the contributions...
Does anyone know if there is a simple way to save out the mmm.print_summary() results to either an image or csv/text file? I would love to capture that part when...
I am trying to understand how the media contribution is calculated, because I would like,[ as explained in this question](https://github.com/google/lightweight_mmm/issues/211#issuecomment-1620547270), to provide fixed values for some coefficients and see how...
