如果出现FutureWarning: The default value of parser will change from 'liac-arff' to 'auto' in 1.4.的错误,还能正常获取数据集吗
时间: 2023-12-25 20:06:05 浏览: 86
是的,尽管你看到了这个 `FutureWarning` 的错误,你仍然可以正常获取数据集。这个警告只是提醒你在未来的版本中默认值将会发生变化,并建议你在调用相关函数或方法时明确设置 `parser='auto'`,以消除这个警告。
警告本身不会影响到你获取数据集的过程,只是提醒你在未来版本中需要修改代码以适应新的默认值。如果你不打算在代码中进行相应的更改,仍然可以继续使用当前版本的默认解析器 `'liac-arff'` 来获取数据集,只是在未来版本中可能会有所改变。
所以,如果你的代码在出现这个警告后仍然能够正常获取数据集,并且没有其他的错误或异常,那么你可以继续使用当前的设置而不必担心。
相关问题
FutureWarning: The default value of `parser` will change from `'liac-arff'` to `'auto'` in 1.4. You can set `parser='auto'` to silence this warning.
This warning message is informing you about a change in the default value of the `parser` parameter in a future version of the library you are using. Currently, the default value is `'liac-arff'`, but it will change to `'auto'` in version 1.4.
To silence this warning, you can explicitly set the `parser` parameter to `'auto'` when calling the relevant function or method. For example:
```python
your_function_name(parser='auto')
```
By doing so, you are acknowledging the upcoming change and explicitly specifying the new default value.
D:\ANACONDA\lib\site-packages\sklearn\datasets\_openml.py:932: FutureWarning: The default value of `parser` will change from `'liac-arff'` to `'auto'` in 1.4. You can set `parser='auto'` to silence this warning. Therefore, an `ImportError` will be raised from 1.4 if the dataset is dense and pandas is not installed. Note that the pandas parser may return different data types. See the Notes Section in fetch_openml's API doc for details.
I apologize for any confusion caused. The warning you mentioned is related to the `fetch_openml` function in scikit-learn and the default value of the `parser` parameter. The warning message indicates that starting from scikit-learn version 1.4, the default value of `parser` will change from `'liac-arff'` to `'auto'`.
To silence this warning, you can explicitly set the `parser` parameter to `'auto'` when calling the `fetch_openml` function. Here's an example:
```python
from sklearn.datasets import fetch_openml
boston = fetch_openml(data_id=531, parser='auto')
```
By setting `parser='auto'`, you will avoid the warning message.
Please note that the warning message is not related to the error you encountered previously. If you are still having trouble loading the Boston dataset, please provide the specific error message so that I can help you further.
I apologize for any inconvenience caused, and I'm here to assist you with any additional questions or concerns you may have.