def __init__(
self,
inducing_kernel,
kernels,
num_inducing,
max_iter,
learnhyper=1,
learn_sub_gps=1,
learning_rate_start=1.0,
isindep_sub_inducing_points=True,
):
Classifier.__init__(self, "Struct Noise Gaussian Process Classifier")
self.R = len(kernels)
self.kernels = kernels
self.P = num_inducing
self.inducing_kernel = inducing_kernel
self.max_iter = max_iter
self.learnhyper = learnhyper
self.learn_sub_gps = learn_sub_gps
self.learning_rate_start = learning_rate_start
self.isindep_sub_inducing_points = isindep_sub_inducing_points
def __init__(self,
inducing_kernel,
kernels,
num_inducing,
max_iter,
learnhyper=1,
learn_sub_gps=1,
learning_rate_start=1.,
isindep_sub_inducing_points=True):
Classifier.__init__(self, 'Struct Noise Gaussian Process Classifier')
self.R = len(kernels)
self.kernels = kernels
self.P = num_inducing
self.inducing_kernel = inducing_kernel
self.max_iter = max_iter
self.learnhyper = learnhyper
self.learn_sub_gps = learn_sub_gps
self.learning_rate_start = learning_rate_start
self.isindep_sub_inducing_points = isindep_sub_inducing_points
def __init__(self,kernel, num_inducing = 10, max_iter = 50,lrate=0.0001,islearnthres=1):
Classifier.__init__(self,'VSGPMIL')
self.kernel=kernel
self.P = num_inducing
self.max_iter = max_iter
self.thres = 0.5
self.lrate = lrate
self.islearnthres = islearnthres
def __init__(self, max_iter = 50,lrate=0.0001,verbose=0,learnhyper=1,islearnthres=1,normalize=1,outfilename=sys.stdout):
Classifier.__init__(self,'Bayes-LogReg-MIL')
self.max_iter = max_iter
self.thres = 0.5
self.lrate = lrate
self.verbose = verbose
self.learnhyper = learnhyper
self.islearnthres=islearnthres
self.outfilename=outfilename
self.normalize=normalize
def __init__(self,
kernel,
num_inducing=10,
max_iter=50,
lrate=0.0001,
islearnthres=1):
Classifier.__init__(self, 'VSGPMIL')
self.kernel = kernel
self.P = num_inducing
self.max_iter = max_iter
self.thres = 0.5
self.lrate = lrate
self.islearnthres = islearnthres