Add tune_lgbm() and wire hyperparameter tuning into DAG
Converts scratch/tune_model.R into a pure tune_lgbm() function, replacing hardcoded winning_params with a fully automated tar_target. Best params (trees=844, depth=3, lr=0.0204, min_n=389) now flow reproducibly into evaluate_final_model() and train_production_model(). PR-AUC improved from 0.165 to 0.198. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -34,6 +34,7 @@ reference:
|
||||
desc: "Cross-validation and imbalance strategy testing."
|
||||
contents:
|
||||
- run_imbalance_tournament
|
||||
- tune_lgbm
|
||||
- train_diag_model
|
||||
- create_efficiency_plot # Moved here: Belongs with the tournament
|
||||
|
||||
|
||||
Reference in New Issue
Block a user