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zackhy / TextClassification

Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).
MIT License
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evaluation #1

Closed shashanka300 closed 6 years ago

shashanka300 commented 6 years ago

training works fine how to evaluate the trained model

sskrishn commented 6 years ago

same question! How to evaluate the trained model ?

zackhy commented 6 years ago

@sskrishn @shashanka300 Hey guys, sorry for the late response. I estimate the models' performance according to their accuracy on the validation set. You can check the Tensorboard summaries for the accuracy curves. Please see train.py.

purohitvivek8 commented 6 years ago

@zackhy How we can test with sample data after train?

purohitvivek8 commented 6 years ago

and please add license version

zackhy commented 6 years ago

@purohitvivek8 I will add a test.py for loading the trained model for test this week.

purohitvivek8 commented 6 years ago

OK Thanks @zackhy and please add license version so we can use in our existing code

zackhy commented 6 years ago

@purohitvivek8 test.py and license added

purohitvivek8 commented 6 years ago

Thank you so much @zackhy