Scoring Rules
JSON →Scoringrules is a Python library for evaluating probabilistic forecasts using various scoring rules. It provides implementations of Continuous Ranked Probability Score (CRPS), Log Score, Brier Score, Dawid-Sebastiani Score, and more for various distributions and ensembles. The current version is 0.9.0, and the library maintains an active development pace with frequent minor releases and occasional breaking changes.
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Resources
API endpoints
full doc /v1/registry/scoringrules
compatibility /v1/registry/scoringrules/compatibility