DeepDTA
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some questions
Hi!I have a few questions to ask:
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After installing the required environment (where python=2.7) I moved the data folder to the source folder and ran the code using the "bash go.sh" command. Because the KIBA data set is used in the go.sh file, I tried to reproduce the data set first (I don't know if I understand it correctly). I ran on the server for 3 days and only ran 54 epoch. The results are as follows:
Is this running speed normal? Are the obtained parameters close to your results?
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If I want to reproduce Davis dataset, I need to change the default=0 of the arguments.py file to default=1. Is it right?
I have just come into contact with this field and am very interested in your code. I want to reproduce your code and hope to receive your reply. Thank you.
Hi @kiki-win,
if you have GPU access then it'd be much faster, max 8-10 hours - you need to make sure you have tensorflow-gpu installed in that case.
For davis dataset, you need to change dataset_path
and is_log
arguments while running the code. you don't need to modify the arguments.py file itself.