Comments (1)
Thanks for following us since the beginning! I can't name all the changes since 2021 (not 2011). But Robyn is definitely performing better now on the objective functions, with greater finetuning levers (add_penalty_factor), improved visualisation, added confidence interval for ROAS/CPA, added immediate vs carryover split, more precise lift calibration, as well as target ROAS scenario in the budget allocator. And yes, the allocator uses SLSQP + AUGLAG.
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Related Issues (20)
- Error plotting result for Robyn in Docker HOT 1
- Loading Robyn issue HOT 2
- simpleError in names(hyper_list_all) HOT 4
- Allocator Error HOT 1
- Error in check_datevar HOT 2
- Carryover effect in Target efficiency allocator seems to be wrong HOT 1
- robyn_chain function not found error HOT 4
- Robyn Refresh error HOT 38
- Cannot execute remotes::install_github("facebookexperimental/Robyn/app") HOT 4
- Robyn one pager is not getting exported HOT 2
- Is there a way to get model results into a csv so that it can be fed to PowerBI to create responsive charts HOT 5
- Issue when I run the model with 12 to 14 variables in dev (3.10.6001 ) HOT 3
- Suggestion: Cleaner RobynLog HOT 2
- `nrmse_n` must be size 40040 or 1, not 40032. HOT 2
- Subsequent Robyn Refresh Penalty Hyperparameters HOT 5
- Input Data: Quarterly Data HOT 1
- Warning message: In .font_global(font, quiet = FALSE, ...) : Font(s) "Arial Narrow" not installed, with other name, or can't be found HOT 2
- Can we optimize budget allocation based on KPIs (Key Performance Indicators)? Additionally, I'd like to understand how the mean value is calculated in the budget allocator code. HOT 2
- CRAN package version outdated (still at 3.10.3 instead of 3.10.5) HOT 1
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