def setOptimizer(self,
method,
num_restarts=None,
min_threshold=None,
meanRange=None,
covRange=None,
likRange=None):
'''
Overriding. Usage see base class pyGPs.gp.GP.setOptimizer
'''
conf = None
if (num_restarts != None) or (min_threshold != None):
conf = pyGPs.Optimization.conf.random_init_conf(
self.meanfunc, self.covfunc, self.likfunc)
conf.num_restarts = num_restarts
conf.min_threshold = min_threshold
if not meanRange is None:
conf.meanRange = meanRange
if not covRange is None:
conf.covRange = covRange
if not likRange is None:
conf.likRange = likRange
if method == "Minimize":
self.optimizer = opt.Minimize(self, conf)
elif method == "SCG":
self.optimizer = opt.SCG(self, conf)
elif method == "CG":
self.optimizer = opt.CG(self, conf)
elif method == "BFGS":
self.optimizer = opt.BFGS(self, conf)
def setOptimizer(self,
method,
num_restarts=None,
min_threshold=None,
meanRange=None,
covRange=None,
likRange=None):
'''Set optimizer. See base class.'''
conf = None
if (num_restarts != None) or (min_threshold != None):
conf = pyGPs.Optimization.conf.random_init_conf(
self.meanfunc, self.covfunc, self.likfunc)
conf.num_restarts = num_restarts
conf.min_threshold = min_threshold
if meanRange != None:
conf.meanRange = meanRange
if covRange != None:
conf.covRange = covRange
if likRange != None:
conf.likRange = likRange
if method == "Minimize":
self.optimizer = opt.Minimize(self, conf)
elif method == "SCG":
self.optimizer = opt.SCG(self, conf)
elif method == "CG":
self.optimizer = opt.CG(self, conf)
elif method == "BFGS":
self.optimizer = opt.BFGS(self, conf)
elif method == "LBFGSB":
self.optimizer = opt.LBFGSB(self, conf)
elif method == "COBYLA":
self.optimizer = opt.COBYLA(self, conf)