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Train Spektral GCN Model
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| from spektral.data.loaders import SingleLoader | |
| learning_rate = 1e-1 | |
| epochs = 100 | |
| # Train model | |
| loader_tr = SingleLoader(dataset, sample_weights=weights_tr) | |
| model.fit(loader_tr.load(), | |
| steps_per_epoch=loader_tr.steps_per_epoch, | |
| epochs=epochs) | |
| # Evaluate model | |
| loader_te = SingleLoader(dataset, sample_weights=weights_te) | |
| train_results = model.evaluate(loader_tr.load(), steps=loader_tr.steps_per_epoch) | |
| test_results = model.evaluate(loader_te.load(), steps=loader_te.steps_per_epoch) | |
| print('#' * 50) | |
| print('Train Accuracy: %s' %train_results[1] ) | |
| print('Test Accuracy: %s' % test_results[1]) | |
| print('#' * 50) |
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