aarondb/cognitive/scoring
Values
pub fn bayesian_update(prior: Float, evidence: Float) -> FloatBayesian update applies a Bayesian update to the prior confidence.
pub fn compute_stability(
access_count: Int,
avg_days_between_accesses: Float,
) -> FloatComputeStability computes new stability from access count and spacing.
pub const default_floor: Floatpub const default_stability: Floatpub fn ebbinghaus_with_floor(
days_since_access: Float,
stability: Float,
floor: Float,
) -> FloatEbbinghausWithFloor computes the Ebbinghaus retention with a floor value.
pub const evidence_co_activation: Floatpub const evidence_contradiction: Floatpub const evidence_user_confirmed: Floatpub const evidence_user_rejected: Floatpub fn exp(x: Float) -> Floatpub const hebbian_learning_rate: Floatpub fn hebbian_update(
current_weight: Float,
effective_signal: Float,
) -> FloatHebbian update for association weight
pub const laplace_smoothing_alpha: Floatpub const laplace_smoothing_scale: Floatpub fn log(x: Float) -> Floatpub fn log10(x: Float) -> Floatpub fn log2(x: Float) -> Floatpub const max_stability: Floatpub fn softmax(weights: List(Float)) -> List(Float)Softmax normalizes the weight vector so values sum to 1.
pub const spacing_bonus_factor: Floatpub const spacing_optimal: Floatpub const stability_growth_rate: Floatpub fn tanh(x: Float) -> Float