Enum DriftLearningMode 

pub enum DriftLearningMode {
    Behavioral,
    Statistical,
    Hybrid,
}

Drift learning mode

Variants

Behavioral

Behavioral learning - adapts to behavior patterns

Statistical

Statistical learning - adapts to statistical patterns

Hybrid

Hybrid - combines behavioral and statistical

Trait Implementations

impl Clone for DriftLearningMode

fn clone(&self) -> DriftLearningMode

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DriftLearningMode

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

Formats the value using the given formatter.

impl Default for DriftLearningMode

fn default() -> DriftLearningMode

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DriftLearningMode

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for DriftLearningMode

fn schema_name() -> String

The name of the generated JSON Schema.

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

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

impl PartialEq for DriftLearningMode

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

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 DriftLearningMode

impl StructuralPartialEq for DriftLearningMode