def fit_scaler(self, train_dir):
"""
Fit a scaler on given data. Word vectors must be trained already.
:param train_dir: directory with '.txt' files
:return: fitted scaler object
在给定的数据上安装一个定标器。单词向量必须已经过训练。
：param train_dir:directory和“.txt”文件
：返回：已安装的定标器对象
"""
if not self.word2vec_model:
raise ValueError('word2vec model is not trained. ' + \
'Run train_word2vec() first.')
if self.scaler:
print('WARNING! Overwriting already fitted scaler.',
file=sys.stderr)
self.scaler = fit_scaler(train_dir, word2vec_model=self.word2vec_model)
return self.scaler
def fit_scaler(self, train_dir):
"""
Fit a scaler on given data. Word vectors must be trained already.
:param train_dir: directory with '.txt' files
:return: fitted scaler object
"""
if not self.word2vec_model:
print('word2vec model is not trained. Run train_word2vec() first.')
return
if self.scaler:
print('WARNING! Overwriting already fitted scaler.')
self.scaler = fit_scaler(train_dir, word2vec_model=self.word2vec_model)
return self.scaler
def fit_scaler(self, train_dir):
"""
Fit a scaler on given data. Word vectors must be trained already.
:param train_dir: directory with '.txt' files
:return: fitted scaler object
"""
if not self.word2vec_model:
print('word2vec model is not trained. Run train_word2vec() first.')
return
if self.scaler:
print('WARNING! Overwriting already fitted scaler.')
self.scaler = fit_scaler(train_dir, word2vec_model=self.word2vec_model)
return self.scaler
def fit_scaler(self, data: DataList):
"""
Fit a scaler on given data. Word vectors must be trained already.
:param data: directory with '.txt' files
:return: fitted scaler object
"""
if not self.word2vec_model:
raise ValueError('word2vec model is not trained. ' +
'Run train_word2vec() first.')
if self.scaler:
print('WARNING! Overwriting already fitted scaler.',
file=sys.stderr)
self.scaler = fit_scaler(data, word2vec_model=self.word2vec_model)
return self.scaler
