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batch_sentences() got an unexpected keyword argument 'max_length' #4
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Have you run |
woops, thank you, resolved. |
Also can I ask, how would one convert column 1 and 2 of the prediction output into nanomolar affinities (as I think is done in fig 4 of your Bioinformatics paper). Is this conversion possible? |
@thomas-davis conversion between nanomolar and the normalized scaled is described in the second paragraph in section 2.1 of the paper. For fig 4, I believe the affinity mean prediction (first column of the output) was used to convert to nanomolar. |
Thank you again! one last question-- I'd like to run the affinity only or embedding only model for a dataset, and wasn't sure how to go about it. |
Bilm Batcher.batch_sentences (here: https://github.com/allenai/bilm-tf/blob/master/bilm/data.py) doesn't accept a max_length argument. I can't find a version in their github history that does. Any work around? Can I safely remove the max_length argument.
Thanks!
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