Model Saving/Restoration

In this example, we'll work through an example of using the DeepChem API to save and restore a model from disk. We're going to be training a ChemCeption model for this purpose on the Delaney dataset.

Here are the files we'll use

• chemception_model.py: The file with the model to train
• chemception_restore.py: The file that restores the trained model

To train the model, first run

python chemception_model.py

This will train a model and store it to a subdirectory ./model. Let's now invoke this model to make a prediction with it.

python chemception_restore.py

The scripts are pretty simple so go ahead and peek inside to see how they work.