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下面的代码用于音频文件分割。

from pyAudioAnalysis import audioSegmentation as aS
[flagsInd, classesAll, acc, CM] = aS.mtFileClassification("diarizationExample.wav", "svmSM", "svm", True, 'dar.segments.txt')

它给了我这个警告：

C:\Users\Kenzhegaliyev_EK\AppData\Local\Continuum\anaconda3\lib\site-packages\pydub\utils.py:165: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
  warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
C:\Users\Kenzhegaliyev_EK\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\utils\deprecation.py:144: FutureWarning: The sklearn.svm.classes module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.svm. Anything that cannot be imported from sklearn.svm is now part of the private API.
  warnings.warn(message, FutureWarning)
C:\Users\Kenzhegaliyev_EK\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\base.py:318: UserWarning: Trying to unpickle estimator SVC from version 0.19.1 when using version 0.22.1. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)

这个错误：

C:\Users\Kenzhegaliyev_EK\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\svm\_base.py in predict(self, X)
    583         """
    584         check_is_fitted(self)
--> 585         if self.break_ties and self.decision_function_shape == 'ovo':
    586             raise ValueError("break_ties must be False when "
    587                              "decision_function_shape is 'ovo'")

AttributeError: 'SVC' object has no attribute 'break_ties'

显然，这是 sklearn 中新旧版本的 SVC 之间的冲突。

在警告中它告诉我应该使用 sklearn version = 0.19.1

我尝试安装当前的并升级到旧的sklearn。我不能使用 shell，它受到限制，所以我在 jupyter 中运行所有代码：

!pip install sklearn
Installing collected packages: sklearn
Successfully installed sklearn-0.0

import sklearn
sklearn.__version__
'0.22.1'

!pip install --upgrade sklearn==0.19.1
ERROR: Could not find a version that satisfies the requirement sklearn==0.19.1 (from versions: 0.0)
ERROR: No matching distribution found for sklearn==0.19.1

sklearn 官方网站上没有 0.19.1 版本：

基于 Web 的文档可用于下列版本：

Scikit-learn 0.23.dev0 (dev) 文档 (PDF 48.5 MB)

Scikit-learn 0.22.1（稳定版）文档（PDF 48.5 MB）

Scikit-learn 0.21.3 文档 (PDF 46.7 MB)

Scikit-learn 0.20.4 文档 (PDF 45.2 MB)

Scikit-learn 0.19.2 文档 (PDF 42.2 MB)

Scikit-learn 0.18.2 文档 (PDF 46.5 MB)

Scikit-learn 0.17.1 文档 (PDF 46.0 MB)

Scikit-learn 0.16.1 文档 (PDF 56.8 MB)

我尝试安装任何其他旧的 sklearn，有什么可用的：

!pip install --upgrade sklearn==0.18.2
ERROR: Could not find a version that satisfies the requirement sklearn==0.18.2 (from versions: 0.0)
ERROR: No matching distribution found for sklearn==0.18.2

!pip install --upgrade sklearn==0.19.2
ERROR: Could not find a version that satisfies the requirement sklearn==0.19.2 (from versions: 0.0)
ERROR: No matching distribution found for sklearn==0.19.2

如何安装正确的旧 sklearn 以使用旧的兼容 SVC 使错误消失？

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1 回答 1

2

sklearn的版本很少。这是因为正确的名称是scikit-learn：https ://pypi.org/project/scikit-learn/#history

所以运行

!pip install --upgrade scikit-learn==0.19.1
于 2020-01-15T08:56:52.740 回答