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Author:
Rouhollah Ahmadian
Summary:
PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing.
Latest version:
1.0.6
Required dependencies:
tensorflow
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