-
Notifications
You must be signed in to change notification settings - Fork 192
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Handle TVP media in channel_contributions_forward_pass
#998
base: main
Are you sure you want to change the base?
Conversation
* add scaling into lift test method * test scaling methods * test change of MMM likelihood * link up beta_channel parameters * change name to sigma * reorganize and edit * closes pymc-labs#406 * address the feedback in docstrings * add more to docstring * format the docstring * be verbose for future devs * be explicit for the column max values * incorporate the feedback * hide cells and add to intro * add conclusion * switch to header 2 * run notebook through * move the types together * separate model estimated from empirical * fix typos
* drop python 3.9 * try python 3.12 * undo try python 3.12
* improve nb * rm warnings and add link to lifetimes quickstart * address comments * feedback part 3 * remove warnings manually
* add more info to the notebook * hide plots code * fix plot y labels * fix plot outputs and remove model build * improve final note probability plots * address comments * use quickstart dataset * feedback part 3 * remowe warnings manually * feedback part 4
* improve mmm docs init * add more code examples to docstrings * minor improvemeents * typo * better phrasing * add thomas suggestion
* move fixtures to conftest * docstrings and moved set_model_fit to conftest * fixed pandas quickstart warnings * revert to MockModel and add ParetoNBD support * quickstart edit for issue 609 * notebook edit
remove ruff E501 ignore
updates: - [github.com/astral-sh/ruff-pre-commit: v0.3.5 → v0.3.7](astral-sh/ruff-pre-commit@v0.3.5...v0.3.7) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Juan Orduz <[email protected]>
* fix potential bugs * minor improvements * remove rule for nb * fix test * improve tests syntax * use stacklevel 2 for warnings * use stacklevel 1 for warnings as they are used in public methods * ignore B904 * undo change * ricardos feedback * use fit_posterior * Update pymc_marketing/clv/models/gamma_gamma.py Co-authored-by: Ricardo Vieira <[email protected]> * last fix XD --------- Co-authored-by: Ricardo Vieira <[email protected]>
* notebook opening and imports * model definition markdown * Data Load Notebook section * WIP model fitting section * added notebook to docs directory * notebook edits and graph code * ppc section and nb cleanup * demz sampling and WIP plotting * WIP predictive plots * WIP heatmap plots * predictive plots * WIP covariates and nbqa-ruff edits * covariate section * plot additions * fig sizes * remove model file
…book (pymc-labs#651) * add spaces, increase indentation, and fix number order * explicit with 6
* Creating plot waterfall Co-Authored-By: Carlos Trujillo <[email protected]> * requested changes * pre-commit --------- Co-authored-by: Carlos Trujillo <[email protected]>
Databricks should have a lower-case b.
updates: - [github.com/astral-sh/ruff-pre-commit: v0.4.1 → v0.4.2](astral-sh/ruff-pre-commit@v0.4.1...v0.4.2) - [github.com/pre-commit/mirrors-mypy: v1.9.0 → v1.10.0](pre-commit/mirrors-mypy@v1.9.0...v1.10.0) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* support for negative values and dates (if used) * fix terrible spelling * test dates in coords * cover numpy objects * consolidate the tests
…abs#960) * Enforce check_parameters in geometric_adstock * Remove check_parameters on l_max. Revert to original test * Add test_geometric_adstock_bad_alpha * use ge, le instead of gt,lt * Update tests/mmm/test_transformers.py Co-authored-by: Will Dean <[email protected]> * Simplify test parameters * Update tests/mmm/test_transformers.py Co-authored-by: Will Dean <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: Will Dean <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
…#967) * change repo and python file change to kick off * comment to check for failure * using the repo * delete to trigger * the previous trigger * push up again * check for the owner being pymc-labs * remove unused * only run after merge to main
* deprecations and moving files * Update UML Diagrams * change the imports in notebooks * push up the code / test changes. need to run * remove _get_\w*_function tests * rerun the tvp notebook * remove stale test * move away from string initialization * change the tvp media example
* allow register and use custom transform * add to the example block
updates: - [github.com/astral-sh/ruff-pre-commit: v0.6.1 → v0.6.2](astral-sh/ruff-pre-commit@v0.6.1...v0.6.2) - [github.com/pre-commit/mirrors-mypy: v1.11.1 → v1.11.2](pre-commit/mirrors-mypy@v1.11.1...v1.11.2) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Will Dean <[email protected]> Co-authored-by: Juan Orduz <[email protected]>
* add table * sync index * empty * improvements
* nb init * add param stability * crps init * add crps to package * make mypy happy * clean * relax req * update path * add crps test * first iteration * improvements * improve tests * improve tests * improve references * feedback 1 * add examples
…ocs (pymc-labs#992) * Changed pt=pt to pt_lib = None to avoid showing full module path in docs * Changed pt to pt_lib inside calculate_lift_measurements_from_curve
* push up some linear-trend work I had * image for the documentation * start the slopes at t=0 * additional checks at init * import at mmm module * update the image * Move to reference section * Move coords to single line * Add hierarchical trend example * add image for the example * migrate to pydantic * update images after seed * Correct the latex * fix check from tests
updates: - [github.com/astral-sh/ruff-pre-commit: v0.6.2 → v0.6.3](astral-sh/ruff-pre-commit@v0.6.2...v0.6.3) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Juan Orduz <[email protected]>
I am not sure if it's right logic to do time_varying_channel_contributions_forward_pass and need some help with relevant test |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Just some thoughts to deduplicate logic
time_index = ( | ||
np.arange(0, self.preprocessed_data["X"].shape[0]) | ||
if self.time_varying_media | ||
else None | ||
) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Will we know if the dates are correct? Is this only used for the insampel data? What if the channel_contributions
input are from a subset of the input. We will likely need to use the infer_time_index
if this is used for new data. This a complaint of mine from the original implementation. If it is always used in the context of the insample, can we not just use the self._time_index variables create in fit
call.
channel_contributions_forward_pass
f9a38fd
to
818ba39
Compare
Hi @radiokosmos |
Description
Related Issue
channel_contributions_forward_pass
#819Checklist
Modules affected
Type of change
📚 Documentation preview 📚: https://pymc-marketing--998.org.readthedocs.build/en/998/