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[pre-commit.ci] auto fixes from pre-commit.com hooks

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pre-commit-ci[bot] 2024-10-04 18:26:44 +00:00
parent f0ceb04ca9
commit 7298a54d92
2 changed files with 6 additions and 5 deletions
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4
machine_learning/lgbm_classifier.py
View File

@ -35,7 +35,7 @@ def main() -> None:
Bank Marketing Dataset is used to demonstrate the algorithm.
"""
# Load Bank Marketing dataset
bank_data = fetch_openml(name='bank-marketing', version=1, as_frame=False)
bank_data = fetch_openml(name="bank-marketing", version=1, as_frame=False)
data, target = data_handling(bank_data)
x_train, x_test, y_train, y_test = train_test_split(
data, target, test_size=0.25, random_state=1
@ -48,7 +48,7 @@ def main() -> None:
lgbm_classifier_model,
x_test,
y_test,
display_labels=['No', 'Yes'],
display_labels=["No", "Yes"],
cmap="Blues",
normalize="true",
)

7
machine_learning/lgbm_regressor.py
View File

@ -17,8 +17,9 @@ def data_handling(data: dict) -> tuple:
return (data["data"], data["target"])
def lgbm_regressor(features: np.ndarray, target: np.ndarray,
test_features: np.ndarray) -> np.ndarray:
def lgbm_regressor(
features: np.ndarray, target: np.ndarray, test_features: np.ndarray
) -> np.ndarray:
"""
>>> lgbm_regressor(np.array([[0.12, 0.02, 0.01, 0.25, 0.09]]),
... np.array([1]), np.array([[0.11, 0.03, 0.02, 0.28, 0.08]]))
@ -39,7 +40,7 @@ def main() -> None:
Bank Marketing Dataset is used to demonstrate the algorithm.
"""
# Load Bank Marketing dataset
bank_data = fetch_openml(name='bank-marketing', version=1, as_frame=False)
bank_data = fetch_openml(name="bank-marketing", version=1, as_frame=False)
data, target = data_handling(bank_data)
x_train, x_test, y_train, y_test = train_test_split(
data, target, test_size=0.25, random_state=1