Example to save and reload a model
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@ -37,3 +37,12 @@ if __name__ == "__main__":
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# Training loop
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trainer.fit(model, train_loader)
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# Save the model
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torch.save(model, "liramlvq_tecator.pt")
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# Load a saved model
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saved_model = torch.load("liramlvq_tecator.pt")
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# Display the Lambda matrix
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saved_model.show_lambda()
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@ -356,6 +356,9 @@ class Vis2DAbstract(pl.Callback):
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else:
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plt.show(block=True)
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def on_train_end(self, trainer, pl_module):
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plt.show()
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class VisGLVQ2D(Vis2DAbstract):
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def on_epoch_end(self, trainer, pl_module):
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