feat:fix-type-handling-in-metrics #5
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Issue 3: https://github.com/amazon-science/RAGChecker/issues/3
Description of changes:
Added Type Checks: I updated several functions (like compute_precision, compute_recall, and compute_retrieval) to include type checks. Now, the code verifies that the input data is either a numpy array or a list before proceeding. This should help prevent similar errors in the future.
Better Handling of 1D Arrays: In functions such as compute_retrieval and compute_context_utilization, I added logic to check if the input is a one-dimensional array. If it is, the code adjusts accordingly, which should avoid errors related to operations like np.max.
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