[KGE] Add evaluate logic #343
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svij-sc
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Oct 1, 2025
python/gigl/experimental/knowledge_graph_embedding/lib/evaluation.py
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svij-sc
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Oct 1, 2025
python/gigl/experimental/knowledge_graph_embedding/lib/evaluation.py
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svij-sc
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python/gigl/experimental/knowledge_graph_embedding/lib/evaluation.py
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nshah-sc
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Oct 2, 2025
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| def compute_final_metrics( | ||
| self, | ||
| unique_edge_types: List[CondensedEdgeType], | ||
| ) -> EvaluationResult: |
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currently keeping this API because other code that i haven't pushed relies on this and will be a mess to manage this change, however i can anticipate in future dropping EvaluationResult and EdgeTypeMetrics to instead just interface with the EvaluationMetricsAccumulator itself.
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Add code which computes the evaluation metrics for KGE training.
Main entrypoint is
evaluatewhich just calls other private functions for organization.Where is the documentation for this feature?: N/A
Did you add automated tests or write a test plan?
Updated Changelog.md? NO
Ready for code review?: YES