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b9869d2 32d209b b9869d2 32d209b b9869d2 3c4e0ad 32d209b b9869d2 32d209b b9869d2 32d209b b9869d2 32d209b b9869d2 3c4e0ad 32d209b b9869d2 32d209b b9869d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | """Canonical CIL research APIs.
This lightweight package is intentionally separate from the implementation-heavy
``dovla_cil`` modules. It gives scripts, evaluator code, and paper artifacts a
stable place to import benchmark metrics from.
"""
from cil.metrics import (
bootstrap_ci,
branch_car,
branch_causal_action_regret,
car_decomposition,
macro_micro_summary,
measured_support_gap,
MetricInputError,
negative_near_at_threshold,
normalized_causal_action_regret,
outcome_ptr_at_k,
pairwise_causal_dominance_ece,
positive_tangent_recall_at_k,
positives_closer_than_negatives,
proxy_positive_tangent_coverage_at_k,
proxy_support_distance,
selector_regret_at_k,
support_gap,
)
__all__ = [
"bootstrap_ci",
"branch_car",
"branch_causal_action_regret",
"car_decomposition",
"macro_micro_summary",
"measured_support_gap",
"MetricInputError",
"negative_near_at_threshold",
"normalized_causal_action_regret",
"outcome_ptr_at_k",
"pairwise_causal_dominance_ece",
"positive_tangent_recall_at_k",
"positives_closer_than_negatives",
"proxy_positive_tangent_coverage_at_k",
"proxy_support_distance",
"selector_regret_at_k",
"support_gap",
]
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