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@@ -43,8 +43,6 @@ class Classifier(activeLearningLinGPprototype.ClassifierPrototype):
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term1 = 1.0/(1.0 + tmpVec2)
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- approxSum = self.approxSum(x, allX, tmpVec1, density)
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-
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pro = numpy.absolute(infY - 1)
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contra = numpy.absolute(infY + 1)
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diff = numpy.repeat(numpy.sum(contra,axis=1),contra.shape[1],axis=1)
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@@ -52,8 +50,6 @@ class Classifier(activeLearningLinGPprototype.ClassifierPrototype):
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term3 = numpy.sum(numpy.multiply(probs,diff),axis=1)
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- res = numpy.multiply(numpy.multiply(term1, approxSum).T, term3)
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-
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return numpy.multiply(numpy.multiply(term1, self.approxSum(x, allX, tmpVec1, density)).T, term3)
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