def test_crf(model_path, test_path, label_path):
"""
do label use a pre-trained crf model
:param model_path:
:param test_path:
:param label_path:
:return:
"""
opt = create_default_opt()
crf_model = pywapiti.mdl_new(pywapiti.rdr_new(opt.maxent))
crf_model.opt = opt
crf_model = load_model(crf_model, model_path)
do_label(crf_model, test_path, label_path)
def test_crf(model_path, test_path, label_path):
"""
do label use a pre-trained crf model
:param model_path:
:param test_path:
:param label_path:
:return:
"""
opt = create_default_opt()
crf_model = pywapiti.mdl_new(
pywapiti.rdr_new(opt.maxent))
crf_model.opt = opt
crf_model = load_model(crf_model, model_path)
do_label(crf_model, test_path, label_path)
def train_crf(train_path, pattern_path, model_path):
"""
train a crf model
:param train_path:
:param pattern_path:
:param model_path:
:return:
"""
opt = create_default_opt()
opt.input = train_path
opt.pattern = pattern_path
opt.output = model_path
opt.maxiter = 10
opt.nthread = 4
crf_model = pywapiti.mdl_new(pywapiti.rdr_new(opt.maxent))
crf_model.opt = opt
do_train(crf_model)
def train_crf(train_path, pattern_path, model_path):
"""
train a crf model
:param train_path:
:param pattern_path:
:param model_path:
:return:
"""
opt = create_default_opt()
opt.input = train_path
opt.pattern = pattern_path
opt.output = model_path
opt.maxiter = 10
opt.nthread = 4
crf_model = pywapiti.mdl_new(
pywapiti.rdr_new(opt.maxent))
crf_model.opt = opt
do_train(crf_model)
def _init_model(model_path):
opt = create_default_opt()
crf_model = pywapiti.mdl_new(pywapiti.rdr_new(opt.maxent))
crf_model.opt = opt
crf_model = load_model(crf_model, model_path)
return crf_model