Enum AnomalyDetectionDifficulty 

pub enum AnomalyDetectionDifficulty {
    Trivial,
    Easy,
    Moderate,
    Hard,
    Expert,
}

Detection difficulty classification for anomalies.

Categorizes how difficult an anomaly is to detect, which is useful for ML model benchmarking and audit procedure selection.

Note: This is distinct from drift_events::AnomalyDetectionDifficulty which is used for drift event classification and has different variants.

Variants

Trivial

Obvious anomaly, easily caught by basic rules (expected detection rate: 99%).

Easy

Relatively easy to detect with standard procedures (expected detection rate: 90%).

Moderate

Requires moderate effort or specialized analysis (expected detection rate: 70%).

Hard

Difficult to detect, requires advanced techniques (expected detection rate: 40%).

Expert

Expert-level difficulty, requires forensic analysis (expected detection rate: 15%).

Implementations

impl AnomalyDetectionDifficulty

pub fn expected_detection_rate(&self) -> f64

Returns the expected detection rate for this difficulty level.

pub fn difficulty_score(&self) -> f64

Returns a numeric difficulty score (0.0-1.0).

pub fn from_score(score: f64) -> Self

Creates a difficulty level from a score (0.0-1.0).

pub fn name(&self) -> &'static str

Returns the name of this difficulty level.

Trait Implementations

impl Clone for AnomalyDetectionDifficulty

fn clone(&self) -> AnomalyDetectionDifficulty

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnomalyDetectionDifficulty

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

Formats the value using the given formatter.

impl Default for AnomalyDetectionDifficulty

fn default() -> AnomalyDetectionDifficulty

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AnomalyDetectionDifficulty

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for AnomalyDetectionDifficulty

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 AnomalyDetectionDifficulty

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

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for AnomalyDetectionDifficulty

impl Eq for AnomalyDetectionDifficulty

impl StructuralPartialEq for AnomalyDetectionDifficulty