class MaxentModel(object):
""" """
# init the model with certain training method
def __init__(self, opts):
if opts.trainMethod == "GIS":
self.trainer = GISTrainer(opts.iteration, opts.sigma2, opts.tol,
opts.alpha)
elif opts.trainMethod == "lbfgs":
self.trainer = lbfgsTrainer()
# invoke the trainer to conduct the training
# process
def train(self, data):
self.trainer.train(data)
def test(self, data):
try:
pass
except:
pass
def load_model(self, filename):
pass
def save_model(self, filename):
pass
class MaxentModel(object):
""" """
# init the model with certain training method
def __init__(self, opts):
if opts.trainMethod == "GIS":
self.trainer = GISTrainer(opts.iteration,
opts.sigma2,
opts.tol,
opts.alpha)
elif opts.trainMethod == "lbfgs":
self.trainer = lbfgsTrainer()
# invoke the trainer to conduct the training
# process
def train(self, data):
self.trainer.train(data)
def test(self, data):
try:
pass
except:
pass
def load_model(self, filename):
pass
def save_model(self, filename):
pass
def __init__(self, opts):
if opts.trainMethod == "GIS":
self.trainer = GISTrainer(opts.iteration,
opts.sigma2,
opts.tol,
opts.alpha)
elif opts.trainMethod == "lbfgs":
self.trainer = lbfgsTrainer()
def __init__(self, opts):
if opts.trainMethod == "GIS":
self.trainer = GISTrainer(opts.iteration, opts.sigma2, opts.tol,
opts.alpha)
elif opts.trainMethod == "lbfgs":
self.trainer = lbfgsTrainer()