Early stopping with numeric edge values about ampligraph

[sumitpai]

During the test/valid time, we don't specify the numeric values. Instead, what we would expect is that when a triple has a high numeric value, when ranked against all corruptions, the triple should get a good rank; while a triple with a low numeric value MIGHT probably be noise, and you can expect it to be ranked lower. This needs to be done manually.

For validation in specific, we can train the model to early stop if it does good on high valued triples (i.e. you can pass only high valued triples to early stopping paramter x_valid and early stop on mrr criteria)

[sumitpai]

The numeric values are mainly used during training to focus the models on high valued triples over the low valued ones. At test time one can split the test set into 2 parts (as done in paper) and see if models performs good on these 2 sets using the delta mrr metric