Python提示AttributeError 或者DeprecationWarning: This module was deprecated解决方法

本文介绍了在使用Python的sklearn库时遇到的cross_validation模块被弃用的问题及解决方案。作者首先尝试了直接调用该模块,遇到了AttributeError错误;接着通过from...import的方式调用,虽然解决了错误但出现了DeprecationWarning警告;最终按照警告提示改用model_selection模块,成功解决了问题。

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Python提示AttributeError 或者DeprecationWarning: This module was deprecated解决方法

在使用Python的sklearn库时,发现sklearn的cross_validation不能使用,在pycharm上直接显示为被横线划掉。
运行程序:

import sklearn
...
X, Xt, y, yt = sklearn.cross_validation.train_test_split(X, y)

报错:

AttributeError: 'module' object has no attribute 'cross_validation'

这里尝试修改为:

from sklearn.cross_validation import train_test_split
X, Xt, y, yt = train_test_split(X, y)

发现不再报错,而是提示警告信息:

DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)

程序能够正常执行。

但是注意看提示信息,实际上是说cross_validation模块被弃用了,改为支持model_selection这个模块,因此,将程序改为:

from sklearn.model_selection import train_test_split
X, Xt, y, yt = train_test_split(X, y)

不再出现警告信息,一切正常。

转载于:https://www.cnblogs.com/alanma/p/6877354.html

(01) wangtianze24@b0215dbf77d3:~/project_all_wang/qqAttnSleep-main/AttnSleep-main/prepare_datasets$ python prepare_physionet.py --data_dir /home/wangtianze24/sleep_edf20/SLEEP_EDF_20 --output_dir data_edf_20_npz/fpzcz --select_ch "EEG Fpz-Cz" Extracting EDF parameters from /home/wangtianze24/sleep_edf20/SLEEP_EDF_20/SC4001E0-PSG.edf... EDF file detected Setting channel info structure... Creating raw.info structure... Reading 0 ... 7949999 = 0.000 ... 79499.990 secs... /home/wangtianze24/project_all_wang/qqAttnSleep-main/AttnSleep-main/prepare_datasets/prepare_physionet.py:95: DeprecationWarning: scaling_time is deprecated in version 0.20 and will be removed in version 0.21. To replicate old behavior, use time_format="ms" to get time in milliseconds, or use time_format=None and scale the time column (in seconds) after DataFrame creation. raw_ch_df = raw.to_data_frame(scaling_time=100.0)[select_ch] Traceback (most recent call last): File "/home/wangtianze24/project_all_wang/qqAttnSleep-main/AttnSleep-main/prepare_datasets/prepare_physionet.py", line 218, in <module> main() File "/home/wangtianze24/project_all_wang/qqAttnSleep-main/AttnSleep-main/prepare_datasets/prepare_physionet.py", line 131, in main label_epoch = np.ones(duration_epoch, dtype=np.int) * label File "/home/wangtianze24/anaconda3/envs/01/lib/python3.9/site-packages/numpy/__init__.py", line 305, in __getattr__ raise AttributeError(__former_attrs__[attr]) AttributeError: module 'numpy' has no attribute 'int'. `np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: 什么意思
03-22
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