def distancesTo(self, vector):
"""
Computes euclidean distance from a vector to all model vectors. Note: uses mask
to scale.
"""
retval = []
for m in self.ravq.models:
retval.append( euclideanDistance(vector, m.vector, self.ravq.mask) )
return retval
def distancesTo(self, vector):
"""
Computes euclidean distance from a vector to all model vectors. Note: uses mask
to scale.
"""
retval = []
for m in self.ravq.models:
retval.append( euclideanDistance(vector, m.vector, self.ravq.mask) )
return retval
def incompatibility(self):
"""
For each model, how different is it from each of the buffer items? Returns list of
incompatibilities. Note: uses mask to scale.
"""
retval = []
for model in self.ravq.models:
sum = 0.0
for buff in model.contents:
sum += euclideanDistance(model.vector, buff, self.ravq.mask)
retval.append(sum)
return retval
def incompatibility(self):
"""
For each model, how different is it from each of the buffer items? Returns list of
incompatibilities. Note: uses mask to scale.
"""
retval = []
for model in self.ravq.models:
sum = 0.0
for buff in model.contents:
sum += euclideanDistance(model.vector, buff, self.ravq.mask)
retval.append(sum)
return retval