fit() got an unexpected keyword argument 'early_stopping_rounds
时间: 2023-11-20 19:02:57 浏览: 149
"fit() got an unexpected keyword argument 'early_stopping_rounds" 这个错误提示是因为在使用fit()函数时,传入了一个不可识别的关键字参数'early_stopping_rounds'。这个参数通常用于循环训练过程中的提前停止策略。
在传递参数给fit()函数时,我们需要确认该函数的参数列表中是否包含了'early_stopping_rounds'参数。如果没有,那么传递该参数会导致错误提示。一种解决方法是查看fit()函数的帮助文档或源代码,确认是否支持提前停止功能。如果支持,我们就需要将相应参数的名称正确传递给fit()函数。
另一种可能性是,我们正在使用的是一个旧版本的库或框架,该版本不支持提前停止功能。此时,可以尝试升级关联库或框架的版本,以获得对提前停止功能的支持。
总而言之,'fit() got an unexpected keyword argument 'early_stopping_rounds'的错误提示是因为我们传递了一个不被识别的参数给fit()函数。解决方法是确认fit()函数是否支持提前停止功能,或升级相关库或框架的版本。"
相关问题
make_classification() got an unexpected keyword argument '_redundant'
As an AI language model, I cannot see the code you are referring to. However, I can explain the error message you provided.
The error message "make_classification() got an unexpected keyword argument '_redundant'" usually occurs when you are trying to pass an invalid argument to the scikit-learn function make_classification(). The argument '_redundant' is not a valid argument for this function, so the function is raising an error.
To fix this error, you should check the documentation for the make_classification() function to see what arguments are valid, and make sure that you are passing only valid arguments. If you are still unsure what is causing the error, you can try posting your code and the full error message on a forum or Q&A site for help from other programmers.
__init__() got an unexpected keyword argument background_color
This error message usually occurs when you pass an unexpected keyword argument to a function or a class constructor.
In this case, it seems that you are trying to pass a `background_color` argument to the `__init__()` method of a class, but this class does not expect or support this argument.
To resolve this issue, you need to check the documentation or source code of the class to see which arguments it supports, and make sure that you are passing the correct arguments. Alternatively, you can modify the class to support the new argument if necessary.