Character-level bidirectional recurrent neural network for short sentences categorization
$ pip install journeyman-nnTrain data format (text and label splitted by \t):
двухкомнатной квартире 2
трехкомнатной квартире 3
3-кк 3
1 . 1
5 комнат 5
3 квартире 3
3-к квартире 3
Training:
from journeyman import Sequence, load_data_and_labels
train_x, train_y = load_data_and_labels('train.txt')
model = Sequence(dropout=0.5, embedding_dim=256, units=128, maxlen=32, batch_size=32)
model.fit(train_x, train_y, epochs=20)
model.save('model.h5', 'preprocessor.pickle', 'params.json')Usage:
from journeyman import load_model
model = load_model('model.h5', 'preprocessor.pickle', 'params.json')
model.predict(['1 к кв.', 'двушка', 'трёхкомнатная квартира']) # => ['1' '2' '3']
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