D:\龚致远的Pythoncharm文件夹\机器学习与资产定价\venv\lib\site-packages\sklearn\base.py:1151: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator return fit_method(estimator, *args, **kwargs) D:\龚致远的Pythoncharm文件夹\机器学习与资产定价\venv\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:628: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged. model = cd_fast.enet_coordinate_descent( D:\龚致远的Pythoncharm文件夹\机器学习与资产定价\venv\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.827e+00, tolerance: 4.400e-03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead. model = cd_fast.enet_coordinate_descent(
时间: 2023-07-21 19:01:06 浏览: 98
这是一些警告和提示信息,指出在使用线性回归模型时可能遇到的问题。警告中提到,当alpha参数为0时,该算法可能无法很好地收敛,建议使用LinearRegression估计器。另外,使用没有正则化的坐标下降方法可能导致意外的结果,并且不被推荐。还有一个收敛警告,建议增加迭代次数、检查特征的规模或者考虑增加正则化。最后,警告提到在l1正则化项的权重为空时,可以使用sklearn.linear_model.Ridge/RidgeCV中实现的求解器更高效地拟合线性回归模型。
相关问题
Requirement already satisfied: sklearn in c:\pythonproject\venv\lib\site-packages (0.0.post1)
As an AI language model, I cannot see your system's environment or any previous commands. But based on the message you provided, it seems like the 'sklearn' package is already installed in your Python environment. You can check the installed packages by running the following command in your Python environment:
```python
pip list
```
This will show you a list of all installed packages, and you can search for 'sklearn' in the list. If you do not find it, you can install it using the following command:
```python
pip install -U scikit-learn
```
This will install or upgrade the 'scikit-learn' package, which is also commonly referred to as 'sklearn'.
Exception in Tkinter callback Traceback (most recent call last): File "D:\Python3.8.5\lib\tkinter\__init__.py", line 1883, in __call__ return self.func(*args) File "D:\PyCharm\pycharm codes\venv\lib\site-packages\retrying.py", line 56, in wrapped_f return Retrying(*dargs, **dkw).call(f, *args, **kw) File "D:\PyCharm\pycharm codes\venv\lib\site-packages\retrying.py", line 266, in call raise attempt.get() File "D:\PyCharm\pycharm codes\venv\lib\site-packages\retrying.py", line 301, in get six.reraise(self.value[0], self.value[1], self.value[2]) File "D:\PyCharm\pycharm codes\venv\lib\site-packages\six.py", line 719, in reraise raise value File "D:\PyCharm\pycharm codes\venv\lib\site-packages\retrying.py", line 251, in call attempt = Attempt(fn(*args, **kwargs), attempt_number, False) File "D:\PyCharm\pycharm codes\VIP音乐破解使用方法\VIP音乐爬虫.py", line 137, in get_KuWoMusic songs_data = self.response_data['data']['list'] KeyError: 'data'
根据提供的错误信息,出现了一个 KeyError 错误。错误提示在访问字典中的键时,不到名为 'data' 的键。这可能是因为你正在尝试访问一个不存在的键或者键名大小写不匹配。
请检查你的代码,确保在访问字典中的键时使用了正确的键名,并确保键名的大小写与字典中的一致。如果需要更多帮助,请提供更多相关的代码或上下文信息。