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To retrain the model on a new dataset, how shall the data be structure? In the current state, DeepDock loads an entire .tar archive (which I suppose contains proteins and ligands structures) for training. However, we did not manage to decompress it and thus it is unclear how the files should be organised for training the algorithm de-novo (i.e., on a new training set).
Thank you!
The text was updated successfully, but these errors were encountered:
Hi,
Great work!
I have a question about the model retraining.
To retrain the model on a new dataset, how shall the data be structure? In the current state, DeepDock loads an entire .tar archive (which I suppose contains proteins and ligands structures) for training. However, we did not manage to decompress it and thus it is unclear how the files should be organised for training the algorithm de-novo (i.e., on a new training set).
Thank you!
The text was updated successfully, but these errors were encountered: