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Update documentation of BasicMolGANModel #3331

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merged 8 commits into from
Jun 20, 2023

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shreyasvinaya
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@shreyasvinaya shreyasvinaya commented Apr 3, 2023

Update documentation of BasicMolGANModel

added a line of documentation to better define the functionality of the BasicMolGANModel

Cleaned up the documentation to provide a better understanding of the model to the users

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  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • In this case, we recommend to discuss your modification on GitHub issues before creating the PR
  • Documentations (modification for documents)

Checklist

  • My code follows the style guidelines of this project
    • Run yapf -i <modified file> and check no errors (yapf version must be 0.32.0)
    • Run mypy -p deepchem and check no errors
    • Run flake8 <modified file> --count and check no errors
    • Run python -m doctest <modified file> and check no errors
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added tests that prove my fix is effective or that my feature works
  • New unit tests pass locally with my changes
  • I have checked my code and corrected any misspellings

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@rbharath rbharath left a comment

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Thanks for the contribution! In general, better to avoid formatting changes in PRs modifying documentation. Can you remove those and update this PR?

deepchem/models/molgan.py Outdated Show resolved Hide resolved
@@ -141,8 +147,10 @@ def create_discriminator(self) -> keras.Model:
1. adjacency tensor, containing bond information
2. nodes tensor, containing atom information
The input vectors need to be in one-hot encoding format.
Use MolGAN featurizer for that purpose. It will be simplified
in the future release.
Use MolGAN featurizer for that purpose.
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Can you remove the formatting changes?

i.e. gan.generators[0](noise_input, training=False, sample_generation=True).
In case of training, not flag is necessary.
For training, flag "sample_generation=True" is not necessary
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This should be reworded.

For training the model, set `sample_generation=False`

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Hi, i've made the suggested changes

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Looking better, but a few fixes still needed

The format differs depending on intended use (training or sample generation).
For sample generation use flag, sample_generation=True while calling generator
The format differs depending on intended use (sample generation or training).
For sample generation, flag "sample_generation=True" to be used while calling generator
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The original version uses active voice which is better than passive voice. Can you revert back to active voice?

@@ -142,6 +144,7 @@ def create_discriminator(self) -> keras.Model:
The input vectors need to be in one-hot encoding format.
Use MolGAN featurizer for that purpose. It will be simplified
in the future release.

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Can you remove this empty line?

i.e. gan.generators[0](noise_input, training=False, sample_generation=True).
In case of training, not flag is necessary.
For training the model, set `sample_generation=False`

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Can you remove this empty line?

@shreyasvinaya
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I have made the requested changes

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Changes look fine now. I've set the CI to run. If everything looks fine we can merge in

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Hi Bharath,
can we merge the PR now?

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LGTM

@rbharath rbharath merged commit fa3ec8f into deepchem:master Jun 20, 2023
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2 participants