def __init__(self, data, protectedIndex, protectedValue, gamma=svm.DEFAULT_GAMMA):
self.splitData(data)
outputs = svm.svmDetailedSKL(self.trainingData, gamma, verbose=True, kernel='linear')
self.svmDetails = outputs
self.bulkMargin = outputs[-2]
self.margin = outputs[-1]
super().__init__(defaultThreshold=0, protectedIndex=protectedIndex,
protectedValue=protectedValue, bulkMargin=self.bulkMargin)
def __init__(self, data, protectedIndex, protectedValue, gamma=svm.DEFAULT_GAMMA):
self.splitData(data)
outputs = svm.svmDetailedSKL(self.trainingData, gamma, verbose=True, kernel='linear')
self.svmDetails = outputs
self.bulkMargin = outputs[-2]
self.margin = outputs[-1]
super().__init__(defaultThreshold=0, protectedIndex=protectedIndex,
protectedValue=protectedValue, bulkMargin=self.bulkMargin)