dmlc--dgl
Giuseppe Futia
6c3dba867a
* Update prerequisites of README * dependencies for pytorch models * dependencies for mxnet models * minor
34 行
709 B
Markdown
34 行
709 B
Markdown
Junction Tree VAE - example for training
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==========================================
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This is a direct modification from https://github.com/wengong-jin/icml18-jtnn
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Dependencies
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--------------
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* PyTorch 0.4.1+
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* RDKit
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* requests
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How to run
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-----------
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To run the model, use
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```
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python3 vaetrain_dgl.py
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```
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The script will automatically download the data, which is the same as the one in the
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original repository.
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To disable CUDA, run with `NOCUDA` variable set:
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```
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NOCUDA=1 python3 vaetrain_dgl.py
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```
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To decode for new molecules, run
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```
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python3 vaetrain_dgl.py -T
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```
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Currently, decoding involves encoding a training example, sampling from the posterior
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distribution, and decoding a molecule from that.
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