本文整理汇总了Python中vocabulary.Vocabulary.stop_growth方法的典型用法代码示例。如果您正苦于以下问题：Python Vocabulary.stop_growth方法的具体用法？Python Vocabulary.stop_growth怎么用？Python Vocabulary.stop_growth使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类vocabulary.Vocabulary的用法示例。
在下文中一共展示了Vocabulary.stop_growth方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Corpus
# 需要导入模块: from vocabulary import Vocabulary [as 别名]
# 或者: from vocabulary.Vocabulary import stop_growth [as 别名]
class Corpus(object):
def __init__(self):
self.documents = []
self.vocab = Vocabulary()
self.frozen = False
def add(self, name, tokens):
if not self.frozen:
w = [self.vocab[x] for x in tokens]
self.documents.append(Document(self, name, w))
def freeze(self):
for doc in self.documents:
doc.freeze()
self.vocab.stop_growth()
self.frozen = True
def __iter__(self):
return iter(self.documents)
def __len__(self):
return len(self.documents)
@classmethod
def load(cls, filename):
return pickle.load(file(filename, 'r'))
def save(self, filename):
pickle.dump(self, file(filename, 'wb'))示例2: Corpus
# 需要导入模块: from vocabulary import Vocabulary [as 别名]
# 或者: from vocabulary.Vocabulary import stop_growth [as 别名]
class Corpus(object):
def __init__(self, documents=None, vocab=None, frozen=None):
if documents:
self.documents = documents
else:
self.documents = []
if vocab:
self.vocab = vocab
else:
self.vocab = Vocabulary()
if frozen:
self.frozen = frozen
else:
self.frozen = False
def add(self, name, tokens):
if not self.frozen:
w = [self.vocab[x] for x in tokens]
self.documents.append(Document(self, name, w))
def freeze(self):
for doc in self.documents:
doc.freeze()
self.vocab.stop_growth()
self.frozen = True
def __getitem__(self, i):
return self.documents[i]
def __getslice__(self, i, j):
return Corpus(self.documents[i:j], self.vocab, self.frozen)
def __iter__(self):
return iter(self.documents)
def __len__(self):
return len(self.documents)
@classmethod
def load(cls, filename):
return pickle.load(file(filename, "r"))
def save(self, filename):
pickle.dump(self, file(filename, "wb"))