Exemple #1
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def svmLinearLearner(data, protectedIndex, protectedValue):
    h = svm.svmSKL(data, kernel='linear', verbose=True)
    return randomOneSideRelabelData(h, data, protectedIndex, protectedValue)
Exemple #2
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def svmLinearLearner(data, protectedIndex, protectedValue):
   h = svm.svmSKL(data, kernel='linear', verbose=True)
   return randomOneSideRelabelData(h, data, protectedIndex, protectedValue)
Exemple #3
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def svmLinearLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, kernel='linear', verbose=True)
Exemple #4
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def svmLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, verbose=True)
Exemple #5
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def svmLinearLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, kernel="linear", verbose=True)
Exemple #6
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def svmLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, verbose=True)