()
| 11 | from pos_rnn import RNN |
| 12 | |
| 13 | def main(): |
| 14 | Xtrain, Ytrain, Xtest, Ytest, word2idx, tag2idx = get_data(split_sequences=True) |
| 15 | V = len(word2idx) |
| 16 | K = len(tag2idx) |
| 17 | rnn = RNN(10, [10], V, K) |
| 18 | rnn.fit(Xtrain, Ytrain, epochs=70) |
| 19 | print("train score:", rnn.score(Xtrain, Ytrain)) |
| 20 | print("test score:", rnn.score(Xtest, Ytest)) |
| 21 | print("train f1 score:", rnn.f1_score(Xtrain, Ytrain)) |
| 22 | print("test f1 score:", rnn.f1_score(Xtest, Ytest)) |
| 23 | |
| 24 | |
| 25 | if __name__ == '__main__': |