CatBoostRegressor 与 loss_function='Lq'

Question

我不确定如何在“Lq”损失函数中指定“q”变量。我收到以下错误消息：

CatBoostError: /src/catboost/catboost/private/libs/options/catboost_options.cpp:82: Param q is mandatory for Lq loss

我的代码如下：

from catboost import CatBoostRegressor
from sklearn.datasets import make_regression
from sklearn.model_selection import train_test_split
import numpy as np

# Generate an artificial regression dataset
X, y = make_regression(n_samples=1000, n_features=10, random_state=42)

# Split the dataset into training and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Create a CatBoostRegressor object
model = CatBoostRegressor(loss_function='Lq')

# Fit the model 
model.fit(X_train, y_train)

Answer 1

对于某些损失函数，需要指明额外的参数，可以在损失函数类型后用“:”指定，例如：

model = CatBoostRegressor(loss_function='Lq:q=4')