Comments (3)
That code was just to do cross validation. Indeed, if you want to save the model as H5, you need to add that line of code.
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Say, after line 219 of https://github.com/muhaochen/seq_ppi/blob/master/binary/model/lasagna/rcnn.py, add a line to save the merge_model. That just saves a model in one fold of cross-validation though.
from seq_ppi.
Thank you very much for your answer, I will proceed that way.
from seq_ppi.
Related Issues (15)
- Errors in running the RCNN network on yeast dataset. HOT 1
- FileNotFoundError while running cnn.py for binary PPI prediction HOT 3
- Value Error: all the input arrays must have same number of dimensions HOT 9
- 你好,请问一下您的模型对输入序列的长度有什么要求?
- where is the default_onehot.txt? HOT 2
- The accuracy of yeast dataset HOT 1
- how to reproduce your work HOT 10
- why not put add you result in your code HOT 2
- Basic run question HOT 2
- Licensing HOT 1
- Basic run: embeddings missing HOT 1
- cannot find the file'../../../mtb/preprocessed/SKEMPI_seq.txt' HOT 4
- Can you help me understand the calculation procedure of autocovariance (AC) vector? HOT 4
- What should I do if I want to reproduce the cross-validation corr mentioned in the paper as 0.873 HOT 1
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