This code below is for audio file segmentation.
from pyAudioAnalysis import audioSegmentation as aS
[flagsInd, classesAll, acc, CM] = aS.mtFileClassification("diarizationExample.wav", "svmSM", "svm", True, 'dar.segments.txt')
it gives me this warning:
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)
and this error:
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'
apparently, it's a conflict between older & newer versions of SVC in sklearn.
In the warning it tells i should probably use sklearn version = 0.19.1
I tried installing the current and upgrading to older sklearn. I can't use shell, it's restricted, so i run all code in jupyter:
!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
there is no version 0.19.1 on the official sklearn website:
Web-based documentation is available for versions listed below:
Scikit-learn 0.23.dev0 (dev) documentation (PDF 48.5 MB)
Scikit-learn 0.22.1 (stable) documentation (PDF 48.5 MB)
Scikit-learn 0.21.3 documentation (PDF 46.7 MB)
Scikit-learn 0.20.4 documentation (PDF 45.2 MB)
Scikit-learn 0.19.2 documentation (PDF 42.2 MB)
Scikit-learn 0.18.2 documentation (PDF 46.5 MB)
Scikit-learn 0.17.1 documentation (PDF 46.0 MB)
Scikit-learn 0.16.1 documentation (PDF 56.8 MB)
I tried installing any other old sklearn, what is available:
!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
How to install the right older sklearn to use the older compatible SVC to make the error go away?
