Enum AdmissionStrategy 

pub enum AdmissionStrategy {
    Heuristic,
    Rl,
}

Admission decision strategy.

Heuristic uses the existing multi-factor weighted score with an optional LLM call. Rl replaces the LLM-based future_utility factor with a trained logistic regression model.

Variants

Heuristic

Current A-MAC behavior: weighted heuristics + optional LLM call. Default.

Rl

Learned model: logistic regression trained on recall feedback. Falls back to Heuristic when training data is below rl_min_samples.

Trait Implementations

impl Clone for AdmissionStrategy

fn clone(&self) -> AdmissionStrategy

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for AdmissionStrategy

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for AdmissionStrategy

fn default() -> AdmissionStrategy

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AdmissionStrategy

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for AdmissionStrategy

fn eq(&self, other: &AdmissionStrategy) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for AdmissionStrategy

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for AdmissionStrategy

impl StructuralPartialEq for AdmissionStrategy