Struct MetaLearningHealth 

pub struct MetaLearningHealth {
    pub regret: RegretSummary,
    pub pareto_size: usize,
    pub pareto_hypervolume: f32,
    pub consecutive_plateaus: u32,
    pub total_plateaus: u32,
    pub curiosity_total_visits: u64,
    pub decaying_beta_count: usize,
    pub is_learning: bool,
    pub is_diverse: bool,
    pub is_exploring: bool,
}

Health summary of the meta-learning system.

Fields

regret: RegretSummary

pareto_size: usize

pareto_hypervolume: f32

consecutive_plateaus: u32

total_plateaus: u32

curiosity_total_visits: u64

decaying_beta_count: usize

is_learning: bool

True if regret growth is sublinear (system is learning).

is_diverse: bool

True if Pareto front has diverse solutions.

is_exploring: bool

True if curiosity is actively exploring.

Trait Implementations

impl Clone for MetaLearningHealth

fn clone(&self) -> MetaLearningHealth

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MetaLearningHealth

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for MetaLearningHealth

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MetaLearningHealth

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

where __S: Serializer,

Serialize this value into the given Serde serializer.