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Updated dict type args default value to None (#927)

This commit is contained in:
Li Jiang 2023-02-23 13:23:24 +08:00 committed by GitHub
parent 8e447562c7
commit 7c0340fde6
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 9 additions and 3 deletions
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12
flaml/automl/ml.py
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@ -385,8 +385,10 @@ def _eval_estimator(
obj,
labels=None,
log_training_metric=False,
fit_kwargs={},
fit_kwargs: Optional[dict] = None,
):
if fit_kwargs is None:
fit_kwargs = {}
if isinstance(eval_metric, str):
pred_start = time.time()
val_pred_y = get_y_pred(estimator, X_val, eval_metric, obj)
@ -445,9 +447,11 @@ def get_val_loss(
labels=None,
budget=None,
log_training_metric=False,
fit_kwargs={},
fit_kwargs: Optional[dict] = None,
free_mem_ratio=0,
):
if fit_kwargs is None:
fit_kwargs = {}
start = time.time()
# if groups_val is not None:
# fit_kwargs['groups_val'] = groups_val
@ -507,9 +511,11 @@ def evaluate_model_CV(
best_val_loss,
cv_score_agg_func=None,
log_training_metric=False,
fit_kwargs={},
fit_kwargs: Optional[dict] = None,
free_mem_ratio=0,
):
if fit_kwargs is None:
fit_kwargs = {}
if cv_score_agg_func is None:
cv_score_agg_func = default_cv_score_agg_func
start_time = time.time()