pymc-marketing
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pymc-labs
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
## Description This change adds scaling to the budget, bounds, and initial guess inside the `BudgetOptimizer` before handing the budget to the `minimize` function. It then unscales the data inside...
I will be working on this example 🚀 https://github.com/takechanman1228/mmm_pydata_global_2022/issues/3
Hello Bayesian Wizards, There are times when nested models are needed to model the interactions , as below :  I am thinking if...
This method is not restricting the domain of the distribution. Maybe some examples and clarification in the docstring would be helpful
The Bayesian approach to MMM is appealing because the posteriors over parameters encodes not only our beliefs about those parameters, but also how certain/uncertain we are about their values. If...
@ferrine mentioned having some experimental marketing functionality. Where would it make sense to include this in the package? A `pymc_marketing.experimental` module or `pymc_marketing.mmm.experimental`? In `pymc_experimental` itself? What are people's thoughts...
Hello! I was looking through the MLFlow module and I thought it might be nice to add a wrapper to allow people to actually register their MMM in MLFlow. Having...
The `MediaConfigList` should support more than (date, channel) inputs as the `AdstockTransformation` and `SaturationTransformation` do. For instance, the following will likely not work: ```python # (date, channel, geo) X =...
There is room for improvement in the test for functionality including: - `to_dict` & `from_dict` methods - `equality` method
Following #968, both `MediaTransformation` and `MediaConfigList` are following the same API which it easier to use them in the `MMM`. However, there will be some API changes in order to...