Christoph Kaeding 7 лет назад
Родитель
Сommit
187e62a6f6

+ 0 - 2
activeLearning/activeLearningLinGPemoc.py

@@ -48,8 +48,6 @@ class Classifier(activeLearningLinGPprototype.ClassifierPrototype):
 
     term3 = numpy.sum(numpy.multiply(probs,diff),axis=1)
 
-    res = numpy.multiply(numpy.multiply(term1, term2).T, term3)
-
     return numpy.multiply(numpy.multiply(term1, term2).T, term3)
 
 

+ 0 - 4
activeLearning/activeLearningLinGPemocApprox.py

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