def train(self,training_raw,training_result,iteration=5):
"""
训练
"""
for it in range(iteration):#迭代整个语料库
eval=self.Eval()#测试用的对象
sn=0
for line,std in zip(open(training_raw),open(training_result)):#迭代每个句子
sn+=1
#if sn%10==0:
# print('('+str(sn)+')',end='')
# sys.stdout.flush()
line=line.strip()
std=std.split()
y=std
std=pre.gen_std(std)
std=[t for _,t in sorted(list(std))]
raw,s=self.pre(line)
self.schema.candidates=s
self.schema.features.candidates=s
assert(len(s)==len(std))
_,hat_y=self._learn_sentence(raw,y)
eval(y,hat_y)
eval.print_result()#打印评测结果
self.actions.average(self.step)
def test(self,test_raw,test_result):
"""
测试
"""
eval=self.Eval([DiffToHTML(test_result+'.html')])
for line,std in zip(open(test_raw),open(test_result)):#迭代每个句子
line=line.strip()
std=std.split()
y=std
std=pre.gen_std(std)
std=[t for _,t in sorted(list(std))]
raw,s=self.pre(line)
self.schema.candidates=s
self.schema.features.candidates=s
assert(len(s)==len(std))
hat_y=self(raw)
eval(y,hat_y)
eval.print_result()#打印评测结果
return eval
