Skip to content
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.

Sign up for GitHub

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

Update optimize_media.py #344

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update optimize_media.py #344

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 4 additions & 2 deletions lightweight_mmm/optimize_media.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,8 @@ def _objective_function(
training and prediction starts 2 months after training data finished we
need to provide the 8 weeks missing between the training data and the
prediction data so data transformations (adstock, carryover, ...) can take
place correctly.
place correctly. Must be scaled with the media scaler that was used to scale
the media data before training.
target_scaler: Scaler that was used to scale the target before training.
media_scaler: Scaler that was used to scale the media data before training.
geo_ratio: The ratio to split channel media across geo. Should sum up to 1
Expand Down Expand Up @@ -215,7 +216,8 @@ def find_optimal_budgets(
training and prediction starts 8 weeks after training data finished we
need to provide the 8 weeks missing between the training data and the
prediction data so data transformations (adstock, carryover, ...) can take
place correctly.
place correctly. Must be scaled with the media scaler that was used to scale
the media data before training.
target_scaler: Scaler that was used to scale the target before training.
media_scaler: Scaler that was used to scale the media data before training.
bounds_lower_pct: Relative percentage decrease from the mean value to
Expand Down