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Integrate DrugBAN example to PyKale -- PyTorch Version #442
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… usage in drugban_trainer
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and test_drugban_trainer.py to pass pre-commit
@@ -17,7 +17,8 @@ All data in examples are from the public domain so they will be downloaded into | |||
- [Action recognition via domain adaptation](https://github.com/pykale/pykale/tree/master/examples/action_dann) | |||
- [Video loading](https://github.com/pykale/pykale/tree/master/examples/video_loading) | |||
- Bioinformatics data analysis | |||
- [Drug-target interaction prediction](https://github.com/pykale/pykale/tree/master/examples/bindingdb_deepdta) | |||
- [Drug-target interaction prediction (with Deepdta)](https://github.com/pykale/pykale/tree/master/examples/bindingdb_deepdta) |
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Change to "DeepDTA"
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This pull request has been automatically marked as stale due to lack of activity. |
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This pull request has been automatically marked as stale due to lack of activity. |
#442.
Description
Integrated Peizhen's DrugBAN to PyKale's workflow.
examples
directory as a starting point for using this model within PyKale.ban.py
tokale.embed
for DrugBAN and BANLayer.drugban_datasets.py
tokale.loaddata
for loading datasets specific to DrugBAN.drugban_trainer
tokale.pipeline
.Discriminator
class inkale.predict.class_domain_nets
to support domain adaptation.binary_cross_entropy
function inkale.predict.losses
for loss calculation.Status
Ready
Types of changes
docs
manually updated for new API.