add lightgbm_test.py

lightgbm_test.py

+import lightgbm as lgb
+import numpy as np
+from datetime import datetime
+from sklearn.datasets import make_regression
+X, y = make_regression(n_samples=1000000, n_features=40, n_informative=20, random_state=42)
+print(f'训练开始: {datetime.now()}')
+train_data = lgb.Dataset(X, label=y)
+params = {
+    "objective": "regression",
+    "metric": "mse",
+    "device": "cuda",
+    "num_threads": -1,
+    "verbosity": 1,
+    "max_depth": 6,
+    "learning_rate": 0.05
+}
+model = lgb.train(params, train_data, num_boost_round=500)
+print(f'训练结束: {datetime.now()}')