Lightweight-mmm

Latest version: v0.1.9

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0.1.9

Minor updates:
- bugfix in plot_response_curves() function
- change numpy version in requirements

0.1.8

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.

0.1.7.1

minor update to help resolve dependency issues

0.1.7

What's Changed
- Deprecated Python 3.7 support and updated requirements.
- New data quality analysis added to example Colabs.
- Internal changes in preparation for a larger update.
- Minor fixes and improvements.

0.1.6

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.

0.1.5

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.

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