which_metrics_matter

io.github.beepboop2025/noisefloor · Verify this server

Rank a named board of nonnegative evidence scores for review. By default valid_evalues=false: arbitrary nonnegative scores are ranked descriptively and selected stays empty. Set valid_evalues=true only when every input has a justified null expectation at most one; then e-Benjamini-Hochberg (e-BH) controls this family's expected false-discovery proportion at alpha, provided the supplied e-values are valid. The server cannot certify that assertion. Raw returns, z-scores, model confidence and did_it_change's monitoring statistic do not qualify as valid e-values. Use this after constructing evidence, not to detect a change from a time series. Returns ranked (metric/evidence pairs, descending score), selected, k, n_watched, threshold, descriptive_mean, validity, assumptions and guarantee. Threshold and board_evidence are null without e-value confirmation. Repeated boards are not automatically controlled. Example descriptive call: {"evidence":{"latency":12,"errors":3},"valid_evalues":false}.