Enum LearningType 

pub enum LearningType {
    FactualUpdate,
    PatternRecognition,
    StrategyRefinement,
    ErrorCorrection,
    CapabilityUpdate,
}

Type of learning.

Variants

FactualUpdate

New fact discovered

PatternRecognition

Pattern observed

StrategyRefinement

Improvement to approach

ErrorCorrection

Correction of wrong belief

CapabilityUpdate

New capability identified

Trait Implementations

impl Clone for LearningType

fn clone(&self) -> LearningType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ComposeSchema for LearningType

fn compose(generics: Vec<RefOr<Schema>>) -> RefOr<Schema>

impl Debug for LearningType

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

Formats the value using the given formatter.

impl Default for LearningType

fn default() -> LearningType

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LearningType

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for LearningType

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for LearningType

fn eq(&self, other: &LearningType) -> 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 LearningType

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl ToSchema for LearningType

fn name() -> Cow<'static, str>

Return name of the schema.

fn schemas(schemas: &mut Vec<(String, RefOr<Schema>)>)

Implement reference [utoipa::openapi::schema::Schema]s for this type.

impl Copy for LearningType

impl Eq for LearningType

impl StructuralPartialEq for LearningType