def Classifier_y(source, target):
if source == 'usps' or target == 'usps':
return usps.Predictory()
if source == 'svhn':
return svhn2mnist.Predictor()
if source == 'synth':
return syn2gtrsb.Predictor()
def Classifier(source,
target,
num_classifiers_train=2,
num_classifiers_test=1,
init='kaiming_u',
use_init=False):
if source == 'usps' or target == 'usps':
return usps.Predictor(num_classifiers_train, num_classifiers_test,
init, use_init)
if source == 'svhn':
return svhn2mnist.Predictor(num_classifiers_train,
num_classifiers_test, init, use_init)
if source == 'synth':
return syn2gtrsb.Predictor(num_classifiers_train, num_classifiers_test,
init, use_init)
def Classifier(source, target):
# if source == 'usps' or target == 'usps':
# return usps.Predictor()
# else:
return svhn2mnist.Predictor()
def Classifier():
# if source == 'usps' or target == 'usps':
# return usps.Predictor()
# if source == 'svhn':
return svhn2mnist.Predictor()
def Classifier(source, target, prob=0.5, pixelda=False):
if source == 'usps' or target == 'usps':
return usps.Predictor()
if source == 'svhn':
return svhn2mnist.Predictor()