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