@ai-on-browser/data-analysis-models
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Data analysis model package without any dependencies
39 lines (38 loc) • 936 B
TypeScript
/**
* Delaunay interpolation
*/
export default class DelaunayInterpolation {
/**
* Fit model.
* @param {Array<Array<number>>} x Training data
* @param {number[]} y Target values
*/
fit(x: Array<Array<number>>, y: number[]): void;
_triangles: Triangle[];
/**
* Returns probabilities of the datas.
* @param {Array<Array<number>>} x Sample data
* @returns {number[]} Predicted values
*/
predict(x: Array<Array<number>>): number[];
}
declare class Triangle {
constructor(p1: any, p2: any, p3: any);
set p(points: any);
get p(): any;
adjoin: any[];
_circumcircle: Circle;
_p: any;
_h: number[];
get circumcircle(): Circle;
contains(p: any): boolean;
contains_circle(p: any): boolean;
value(p: any): number;
}
declare class Circle {
constructor(c: any, r: any);
_c: any;
_r: any;
contains(p: any): boolean;
}
export {};