Example #1
0
def svmLinearLearner(data, protectedIndex, protectedValue):
    h = svm.svmSKL(data, kernel='linear', verbose=True)
    return randomOneSideRelabelData(h, data, protectedIndex, protectedValue)
Example #2
0
def svmLinearLearner(data, protectedIndex, protectedValue):
   h = svm.svmSKL(data, kernel='linear', verbose=True)
   return randomOneSideRelabelData(h, data, protectedIndex, protectedValue)
Example #3
0
def svmLinearLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, kernel='linear', verbose=True)
Example #4
0
def svmLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, verbose=True)
Example #5
0
def svmLinearLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, kernel="linear", verbose=True)
Example #6
0
def svmLearner(data, protectedIndex, protectedValue):
    return svmSKL(data, verbose=True)