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autovp_tuning_benchmark

autovp_tuning_benchmark

Select AutoVP candidate configurations and record benchmark-style accuracy targets for recovery runs.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: autovp_tuning_benchmark description: Select AutoVP candidate configurations and record benchmark-style accuracy targets for recovery runs.

AutoVP Tuning Benchmark

Use this skill when comparing AutoVP candidate configurations or writing benchmark result metadata. It should not claim full Table 2 reproduction for a reduced proxy.

Inputs

Candidate configurations, early validation metrics, dataset name, metric name, and paper target.

Outputs

Selected configuration and benchmark summary with proxy/full status.

Workflow

Normalize records, sort by metric with deterministic tie-breaking, choose the best candidate, and emit dataset/metric/target metadata. Preserve module-plan target values exactly.

Validation

Run included candidate-selection test.

Skills guardadas