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codekansas / keras-language-modeling

:book: Some language modeling tools for Keras
https://codekansas.github.io/language
MIT License
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TypeError: 'NoneType' object is not iterable #29

Open SeekPoint opened 7 years ago

SeekPoint commented 7 years ago

Train on 16686 samples, validate on 1854 samples Epoch 1/1 16686/16686 [==============================] - 1s - loss: 0.0060 - val_loss: 0.0340Fitting epoch 2000

2016-10-28 07:51:05 -- Epoch 1999 Loss = 0.0060, Validation Loss = 0.0340 (Best: Loss = 0.0102, Epoch = 152) Train on 16686 samples, validate on 1854 samples Epoch 1/1 [====================]]====================] - 1s - loss: 0.0061 - val_loss: 0.0337 2016-10-28 07:51:07 -- Epoch 2000 Loss = 0.0061, Validation Loss = 0.0337 (Best: Loss = 0.0102, Epoch = 152) ----- test1 ----- Top-1 Precision: 0.117778 MRR: 0.207952 ----- test2 ----- Top-1 Precision: 0.121111 MRR: 0.212116 ----- dev ----- Top-1 Precision: 0.129000 MRR: 0.216403 Traceback (most recent call last): File "insurance_qa_eval.py", line 262, in top1, mrr = evaluator.get_score(verbose=False) TypeError: 'NoneType' object is not iterable rzai@rzai00:~/prj/keras-language-modeling$ rzai@rzai00:~/prj/keras-language-modeling$

tc64 commented 7 years ago

I got the same error yesterday (10-30-2016)

Train on 16686 samples, validate on 1854 samples Epoch 1/1 16686/16686 [==============================] - 24s - loss: 0.0000e+00 - val_loss: 0.0000e+00 2016-10-31 11:29:02 -- Epoch 2000 Loss = 0.0000, Validation Loss = 0.0000 (Best: Loss = 0.0000, Epoch = 1726) ----- test1 ----- [====================]Top-1 Precision: 1.000000 MRR: 1.000000 ----- test2 ----- [====================]Top-1 Precision: 1.000000 MRR: 1.000000 ----- dev ----- [====================]Top-1 Precision: 1.000000 MRR: 1.000000 Traceback (most recent call last): File "insurance_qa_eval.py", line 262, in top1, mrr = evaluator.get_score(verbose=False) TypeError: 'NoneType' object is not iterable

nigeljyng commented 7 years ago

I ran into the same issue as well and I just found the problem. Evaluator.get_score() does not return anything, but the script tries to assign variables when calling that function: top1, mrr = evaluator.get_score(verbose=False) https://github.com/codekansas/keras-language-modeling/blob/master/insurance_qa_eval.py#L262

It's an easy fix. Will submit a pull request.