如何在训练模型后打印CatBoost超参数?
在sklearn中,我们只能打印模型对象,它将显示所有参数,但在catboost中,它只能打印对象的引用:<catboost.core.CatBoostRegressor object at 0x7fd441e5f6d8>。
from catboost import CatBoostRegressor
# Initialize data
train_data = [[1, 4, 5, 6],
[4, 5, 6, 7],
[30, 40, 50, 60]]
eval_data = [[2, 4, 6, 8],
[1, 4, 50, 60]]
train_labels = [10, 20, 30]
# Initialize CatBoostRegressor
model = CatBoostRegressor(iterations=2,
learning_rate=1,
depth=2)
# Fit model
model.fit(train_data, train_labels)
# Get predictions
preds = model.predict(eval_data)
print (model)发布于 2019-04-04 19:32:42
print(model.get_params())应该做的是
发布于 2021-01-28 19:36:32
使用print(model.get_all_params())打印所有默认参数。
https://stackoverflow.com/questions/55440566
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