def eval(self,iterationparameters, observedparameters, objectivefunctionparameters):
#search for number of vectors
numberofvectors = 0
numberofvectors = numberofvectors+iterationparameters.__len__()
numberofvectors = numberofvectors+observedparameters.__len__()
numberofvectors = numberofvectors+objectivefunctionparameters.__len__()
if(numberofvectors!=1):
pycalimero.log("Only one vector is allowed in ReverseVector", pycalimero.Warning)
#search for vectors and check their size
vectors = pycalimero.doublevectorvector()
for var in iterationparameters:
vectors.append(var.getValues())
for var in observedparameters:
vectors.append(var.getValues())
for var in objectivefunctionparameters:
vectors.append(var.getValues())
#calculate
result = pycalimero.doublevector()
for value in vectors[0]:
result.append(-value)
return result
def eval(self,iterationparameters, observedparameters, objectivefunctionparameters):
#search for vectors and check their size
vectors = pycalimero.doublevectorvector()
for var in iterationparameters:
vectors.append(var.getValues())
for var in observedparameters:
vectors.append(var.getValues())
for var in objectivefunctionparameters:
vectors.append(var.getValues())
if(vectors.__len__()!=2):
pycalimero.log("Only two vectors are allowed in VectorErrorSquare", pycalimero.Error)
return pycalimero.doublevector(1,999999999999999)
if(vectors[0].__len__() < vectors[1].__len__()):
tmp = pycalimero.doublevector(vectors[0])
while(tmp.__len__() < vectors[1].__len__()):
tmp.append(999)
vectors[0]=tmp;
if(vectors[0].__len__() > vectors[1].__len__()):
tmp = pycalimero.doublevector(vectors[1])
while(tmp.__len__() < vectors[0].__len__()):
tmp.append(999)
vectors[1]=tmp;
#calculate
result = pycalimero.doublevector(vectors[0].__len__())
for index,value1 in enumerate(vectors[0]):
result[index] = math.pow(value1 - vectors[1][index],2)
return result
def eval(self,iterationparameters, observedparameters, objectivefunctionparameters):
#search for number of vectors
numberofvectors = 0
numberofvectors = numberofvectors+iterationparameters.__len__()
numberofvectors = numberofvectors+observedparameters.__len__()
numberofvectors = numberofvectors+objectivefunctionparameters.__len__()
if(numberofvectors!=2):
pycalimero.log("Only two vectors are allowed in VectorError", pycalimero.Warning)
#search for vectors and check their size
vectors = pycalimero.doublevectorvector()
for var in iterationparameters:
vectors.append(var.getValues())
for var in observedparameters:
vectors.append(var.getValues())
for var in objectivefunctionparameters:
vectors.append(var.getValues())
if(vectors[0].__len__()!=vectors[1].__len__()):
pycalimero.log("Vectors do not have the same size in VectorError", pycalimero.Warning)
#calculate
result = pycalimero.doublevector()
index = 0
for value1 in vectors[0]:
currentresult = value1 - vectors[1][index]
result.append(currentresult)
index = index+1
return result