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class Param():
def __init__(self, args):
self.hyper_param = self.get_hyper_parameters(args)
def get_hyper_parameters(self, args):
"""
Args:
glove_model (directory): The path for the pre-trained glove embedding.
max_num_words (int): The maximum number of words.
"""
hyper_parameters = {
'glove_model': '/home/sharing/disk1/pretrained_embedding/glove',
'max_num_words': 10000,
}
return hyper_parameters