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AdaptiveThresholdMl

cbtop::adaptive_ml

Struct AdaptiveThresholdMl 

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pub struct AdaptiveThresholdMl { /* private fields */ }
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ML-based adaptive threshold system

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impl AdaptiveThresholdMl

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pub fn new(config: MlThresholdConfig) -> Self

Create a new adaptive threshold system

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pub fn classify_workload(&self, features: &TimeSeriesFeatures) -> WorkloadClass

Classify workload from features

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pub fn get_threshold(&self, workload: WorkloadClass) -> f64

Get threshold for a workload

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pub fn detect_anomaly(&self, values: &[f64]) -> MlThresholdResult<AnomalyResult>

Detect anomaly in a time series

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pub fn train( &mut self, values: &[f64], is_anomaly: bool, ) -> MlThresholdResult<()>

Train on labeled sample

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pub fn check_drift(&self, values: &[f64]) -> MlThresholdResult<Option<f64>>

Check for drift in recent samples

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pub fn get_metrics(&self) -> &ClassificationMetrics

Get classification metrics

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pub fn reset_metrics(&mut self)

Reset classification metrics

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pub fn get_learned_threshold( &self, workload: WorkloadClass, ) -> Option<&LearnedWorkloadThreshold>

Get learned threshold for workload

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pub fn learned_workloads(&self) -> Vec<WorkloadClass>

Get all workload classes with learned thresholds

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pub fn export_state(&self) -> HashMap<String, (f64, f64, usize)>

Export model state for persistence

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pub fn import_state(&mut self, state: HashMap<String, (f64, f64, usize)>)

Import model state

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pub fn config(&self) -> &MlThresholdConfig

Get configuration

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impl Debug for AdaptiveThresholdMl

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

Formats the value using the given formatter. Read more

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