Struct ModifiedZScoreDetector 

pub struct ModifiedZScoreDetector { /* private fields */ }

MAD-based detector robust to outliers in training data.

Modified Z-Score = 0.6745 × (value − median) / MAD

Implementations

impl ModifiedZScoreDetector

pub fn new(threshold: Option<f64>) -> Self

Creates a new detector. threshold defaults to 3.5.

Trait Implementations

impl AnomalyDetector for ModifiedZScoreDetector

fn fit( &mut self, _timestamps: &[i64], values: &[f64], ) -> Result<(), AnomalyError>

Fit the detector on historical data.

fn detect( &mut self, timestamps: &[i64], values: &[f64], ) -> Result<Vec<AnomalyScore>, AnomalyError>

Score every point in the provided data.

fn detect_point( &mut self, timestamp: i64, value: f64, ) -> Result<AnomalyScore, AnomalyError>

Score a single streaming point (O(1) after fitting).

fn detector_type(&self) -> DetectorType

What kind of detector this is.

impl<'de> Deserialize<'de> for ModifiedZScoreDetector

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl DetectorStore for ModifiedZScoreDetector

fn to_bytes(&self) -> Result<Vec<u8>, DetectorStorageError>

Serializes this detector to a byte vector.

fn from_bytes(bytes: &[u8]) -> Result<Self, DetectorStorageError>

where Self: Sized,

Deserializes a detector from bytes.

impl Serialize for ModifiedZScoreDetector

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

where __S: Serializer,

Serialize this value into the given Serde serializer.