mirror of
https://github.com/webclinic017/drift.git
synced 2026-08-15 20:08:08 +00:00
feat(Models): added debug_future_lookahead, sped up LogisticRegression & DecisionTreeClassifier (#74)
* feat(Models): added `debug_future_lookahead`, sped up LogisticRegression & DecisionTreeClassifier * feat(Training): added ability to train on expanding_window * feat(Models): tuned some hyperparameters, added expanding_window to sweep config, fixed tests * feat(Models): tune parameters of ensemble models * fix(Config): use window size that works with ensembling
This commit is contained in:
@@ -5,8 +5,9 @@ from models.model_map import model_names_classification, model_names_regression
|
||||
def get_default_config() -> tuple[dict, dict, dict]:
|
||||
|
||||
training_config = dict(
|
||||
sliding_window_size = 150,
|
||||
retrain_every = 20,
|
||||
expanding_window = True,
|
||||
sliding_window_size = 200,
|
||||
retrain_every = 100,
|
||||
scaler = 'minmax', # 'normalize' 'minmax' 'standardize' 'none'
|
||||
include_original_data_in_ensemble = True,
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user