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Encoding representations

See original GitHub issue

Hello,

I’m pretty new to autoencoders and I know we can use utilize them for unsupervised learning. Is it possible to use this model to create representations (with encoding) for a set of SMILES?

If so, I guess first I had to preprocess my data set, then use sample.py ?

Thanks!

Issue Analytics

  • State:open
  • Created 6 years ago
  • Comments:5

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1reaction
pecherskycommented, May 25, 2017

Those reasons are why we developed sample_gen.py and train_gen.py, which generate the one-hot representations on the fly and can train the model using the fit_generator functionality of Keras.

To train the model in such a way, run python train_gen.py structures.h5 model.h5, where structures.h5 is an h5 file containing structures under the ‘structure’ key. Check out the source for train_gen.py for more details.

On Thu, May 25, 2017 at 3:01 AM, hkmztrk notifications@github.com wrote:

Hello, thanks for your suggestion. Sorry for my asking but, how do we generate them on the fly? Aren’t we supposed to learn the model first? How do we do that?

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maxhodak/keras-molecules/issues/64#issuecomment-303939205, or mute the thread https://github.com/notifications/unsubscribe-auth/AFGDhp7WKoES35uWL3zu54DUfSzIf7Upks5r9SdagaJpZM4NdshN .

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hkmztrkcommented, May 25, 2017

Hello, thanks for your suggestion. Sorry for my asking but, how do we generate them on the fly? Aren’t we supposed to learn the model first? How do we do that?

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