本文整理汇总了Python中glove.Glove.transform_paragraph方法的典型用法代码示例。如果您正苦于以下问题：Python Glove.transform_paragraph方法的具体用法？Python Glove.transform_paragraph怎么用？Python Glove.transform_paragraph使用的例子？那么, 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glove.Glove的用法示例。
在下文中一共展示了Glove.transform_paragraph方法的1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: build_glove_embeddings
# 需要导入模块: from glove import Glove [as 别名]
# 或者: from glove.Glove import transform_paragraph [as 别名]
def build_glove_embeddings(training, testing, args):
''' Trains the model on the sentiment140 dataset
@Arguments:
data: the loaded sentiment140 dataset from module
num_epochs: the number of epochs to train on
num_threads: the number of threads to use
num_components: the number of components the glove model should use
learning_rate: the model's learning rate
window_size: the size of the window to use when looking for word co-occurence
verbose: boolean for whether or not extensive output should be printed to screen
@Return:
A trained glove model
'''
# initialize model
glove = Glove(no_components = args.vecsize, learning_rate = args.learningRate)
txtSource = chain( imap(lambda (txt,lbl): txt, training), imap(lambda (txt,lbl): txt, testing))
# read in the data to train on
corpus_model = Corpus()
corpus_model.fit( imap(preprocess.tokenize, txtSource), window = args.window)
# fit the model using the given parameters
logging.info("Training GloVe")
glove.fit(corpus_model.matrix, epochs = args.epochs, no_threads = args.parallelism, verbose = args.verbose)
# add a dictionary just to make it easier for similarity queries
glove.add_dictionary(corpus_model.dictionary)
transformer = lambda words: glove.transform_paragraph(words, use_pca = args.pca)
fromTraining = to_sklearn_format(transformer, training, args.vecsize)
fromTesting = to_sklearn_format(transformer, testing, args.vecsize)
return fromTraining, fromTesting