/**
 * Anomaly Detection Plugin Types
 */
export type AnomalyMethod = 'zscore' | 'mad' | 'iqr' | 'isolation-forest';
export interface AnomalyPoint {
    /** Index in the data array */
    index: number;
    /** X value */
    x: number;
    /** Y value */
    y: number;
    /** Anomaly score (higher = more anomalous) */
    score: number;
    /** Method used for detection */
    method: AnomalyMethod;
}
export interface PluginAnomalyDetectionConfig {
    /** Detection method (default: 'zscore') */
    method?: AnomalyMethod;
    /** Sensitivity threshold (default: 0.95)
     * - For zscore: number of standard deviations (e.g., 3)
     * - For mad: MAD multiplier (e.g., 3.5)
     * - For iqr: IQR multiplier (e.g., 1.5)
     * - For isolation-forest: contamination rate (e.g., 0.05)
     */
    sensitivity?: number;
    /** Enable real-time detection on data updates (default: false) */
    realtime?: boolean;
    /** Highlight anomalies on the chart (default: true) */
    highlight?: boolean;
    /** Highlight color (default: '#ff0000') */
    highlightColor?: string;
    /** Highlight marker size (default: 8) */
    highlightSize?: number;
    /** Minimum window size for detection (default: 30) */
    minWindowSize?: number;
    /** Use rolling window for real-time detection (default: false) */
    rollingWindow?: boolean;
    /** Rolling window size (default: 100) */
    windowSize?: number;
    /** Series IDs to monitor (empty = all series) */
    seriesIds?: string[];
}
export interface AnomalyDetectionResult {
    /** Series ID */
    seriesId: string;
    /** Detected anomalies */
    anomalies: AnomalyPoint[];
    /** Total points analyzed */
    totalPoints: number;
    /** Detection method used */
    method: AnomalyMethod;
    /** Threshold value used */
    threshold: number;
    /** Timestamp of detection */
    timestamp: number;
}