@ai-on-browser/data-analysis-models
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Data analysis model package without any dependencies
31 lines (30 loc) • 1.04 kB
TypeScript
/**
* Natural Neighborhood Based Classification Algorithm
*/
export default class NNBCA {
/**
* @param {'euclid' | 'manhattan' | 'chebyshev' | 'minkowski' | function (number[], number[]): number} [metric] Metric name
*/
constructor(metric?: 'euclid' | 'manhattan' | 'chebyshev' | 'minkowski' | ((arg0: number[], arg1: number[]) => number));
_metric: "euclid" | "manhattan" | "chebyshev" | "minkowski" | ((arg0: number[], arg1: number[]) => number);
_d: (a: any, b: any) => any;
/**
* Add datas.
* @param {Array<Array<number>>} datas Training data
* @param {*[]} targets Target values
*/
fit(datas: Array<Array<number>>, targets: any[]): void;
_x: number[][];
_y: any[];
_classes: any[];
_distances: any[][];
_g: any[][];
_r: number;
_t: any[];
/**
* Returns predicted categories.
* @param {Array<Array<number>>} datas Sample data
* @returns {(* | null)[]} Predicted values
*/
predict(datas: Array<Array<number>>): (any | null)[];
}