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Claude
b7297ad31f
crates/policy: reads the append-only ledger and ranks playbook classes by the Wilson score lower bound of their machine-verified win rate — the same 'quote the lower bound' discipline the rest of the project uses. A class that won 1/1 does not outrank one that won 8/10 (wider interval); untried classes fall back to the cheapest-first prior; tried-and-failed classes rank last. Advisory only — the gates still decide every verdict. On the current 33-row ledger it ranks class 5 (algorithmic) first, then class 3, then class 1 — the proven winners — with class 7 (untried) above the evidence-against classes. Wins count only machine-sanitizer-verified accepts (conservatively excluding pre-gate accepts and the overturned comrak-010): the policy trusts the ledger's machine record, not narrative. 4 unit tests (Wilson monotonicity, small-sample penalty, ranking order). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
13 lines
419 B
TOML
13 lines
419 B
TOML
[package]
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name = "policy"
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description = "Learned class-selection policy (SPEC §13): rank playbook classes by the Wilson lower bound of their observed win-rate in the ledger, degrading to cheapest-first when data is thin"
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version.workspace = true
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edition.workspace = true
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license.workspace = true
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repository.workspace = true
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[dependencies]
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anyhow.workspace = true
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clap.workspace = true
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ledger = { path = "../ledger" }
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