@ai-on-browser/data-analysis-models
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Data analysis model package without any dependencies
32 lines (31 loc) • 1.03 kB
TypeScript
/**
* Robust Kernel-based Outlier Factor
*/
export default class RKOF {
/**
* @param {number} k Number of neighborhoods
* @param {number} h Smoothing parameter
* @param {number} alpha Sensitivity parameter
* @param {'gaussian' | 'epanechnikov' | 'volcano' | { name: 'gaussian' } | { name: 'epanechnikov' } | { name: 'volcano', beta?: number } | function (number[]): number} [kernel] Kernel name
*/
constructor(k: number, h: number, alpha: number, kernel?: 'gaussian' | 'epanechnikov' | 'volcano' | {
name: 'gaussian';
} | {
name: 'epanechnikov';
} | {
name: 'volcano';
beta?: number;
} | ((arg0: number[]) => number));
_k: number;
_h: number;
_alpha: number;
_s: number;
_kernel: any;
_distance(a: any, b: any): number;
/**
* Returns anomaly degrees.
* @param {Array<Array<number>>} datas Training data
* @returns {number[]} Predicted values
*/
predict(datas: Array<Array<number>>): number[];
}