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Disable verbose during predictions
See original GitHub issuefinal_prediction, all_predictions, all_nbest_json, scores_diff_json = model.predict(X=(test_examples, test_features))
Outputs the following verbose:
HBox(children=(IntProgress(value=0, description='Evaluating', max=2, style=ProgressStyle(description_width='in…
Issue Analytics
- State:
- Created 4 years ago
- Comments:5
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Yes. Actually the retriever has a
verboseparameter that we can default toFalsehttps://github.com/fmikaelian/cdQA/blob/3583256cbf73e8f3674f57182e824a5ca7c4f7be/cdqa/retriever/tfidf_sklearn.py#L61
For the rest, it is implemented in the BertQA’s
predict():https://github.com/fmikaelian/cdQA/blob/3583256cbf73e8f3674f57182e824a5ca7c4f7be/cdqa/reader/bertqa_sklearn.py#L1180-L1183
We add a if condition based on
verbose_loggingparam:https://github.com/fmikaelian/cdQA/blob/3583256cbf73e8f3674f57182e824a5ca7c4f7be/cdqa/reader/bertqa_sklearn.py#L967
I still think we can improve this.
The picture below shows that the predictions are still too verbose