def from_serializable(cls, contents):
"""
Instantiate a ReviewVectorizer from a serializable dictionary
:param contents: (dict) the serializable dictionary
:return: an instance of the ReviewVectorizer class
"""
review_vocab = Vocabulary.from_serializable(contents['review_vocab'])
rating_vocab = Vocabulary.from_serializable(contents['rating_vocab'])
return cls(review_vocab, rating_vocab)
def from_serializable(cls, contents, classifier_class): # GLOVE_MODEL
"""Instantiate a ReviewVectorizer from a serializable dictionary
Args:
contents (dict): the serializable dictionary
Returns:
an instance of the ReviewVectorizer class
"""
if classifier_class == 'GloVe': # GLOVE_MODEL
predictor_vocab = SequenceVocabulary.from_serializable(
contents['predictor_vocab']) # GLOVE_MODEL
else:
predictor_vocab = Vocabulary.from_serializable(
contents['predictor_vocab'])
target_vocab = Vocabulary.from_serializable(contents['target_vocab'])
return cls(predictor_vocab=predictor_vocab,
target_vocab=target_vocab,
max_predictor_length=contents['max_predictor_length'])
def from_serializable(cls, contents):
seq_vocab = SequenceVocabulary.from_serializable(contents['seq_vocab'])
relation_vocab = Vocabulary.from_serializable(
contents['relation_vocab'])
return cls(seq_vocab=seq_vocab, relation_vocab=relation_vocab)
