Releases: google/lightweight_mmm
Releases · google/lightweight_mmm
v0.1.9
v0.1.8
What's Changed
Minor bugfix:
- Normalise the scale of the media priors for a hierarchical (geo-level) model so that the mean of the priors is the same as in the non-hierarchical (national-level) model.
v0.1.7.1
v0.1.7
v0.1.6
What's Changed
- Fixed optimization previous media/budget allocation to account for unequal prices.
- Exposed more scipy's parameters on optimization and made jacobian more accurate.
- New plot for prior-posterior comparison for all parameters in the model.
- Minor fixes and improvements.
v0.1.5
What's Changed
- Add new API for custom priors and respective documentation.
- Further expansion on supporting python version from 3.7 to 3.10 inclusive.
- Documentation improvements.
- Minor fixes.
v0.1.4
What's Changed
- Plotting media contribution overtime has been added to plots.
- Plotting results from optimisation has been added.
- New utility for going from pd.DataFrame to our expected geo 3D array for geo models
- Expanded documentation of models.
- Improved workflows, CI and documentation
- Fixed edge case for certain tests
- Minor changes and fixes
Full Changelog: 0.1.3...v0.1.4
v0.1.3
What's Changed
- Improved workflows and documentation
- Fixed edge case for hill function
- Minor changes and fixes
v0.1.2
What's Changed
- Add geo level models for bigger countries
- Adapt data scaling to accept geo data
- Adapt media optimization to geo models
- Adapt plots to geo level model and data
- Minor fixes and changes
v0.1.1
What's Changed
- Fix install and import issues
- Add simple demo notebook
- Add control over seeds in
fit
andpredict
methods - Minor changes and fixes