@ai-on-browser/data-analysis-models
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Data analysis model package without any dependencies
57 lines (56 loc) • 1.33 kB
TypeScript
/**
* Genetic k-means model
*/
export default class GeneticKMeans {
/**
* @param {number} k Number of clusters
* @param {number} size Number of models per generation
*/
constructor(k: number, size: number);
_k: number;
_size: number;
_c: number;
_pm: number;
_cm: number;
_models: GeneticKMeansModel[];
/**
* Centroids
* @type {Array<Array<number>>}
*/
get centroids(): Array<Array<number>>;
/**
* The best model.
* @type {GeneticKMeansModel}
*/
get bestModel(): GeneticKMeansModel;
/**
* Initialize model.
* @param {Array<Array<number>>} datas Training data
*/
init(datas: Array<Array<number>>): void;
/**
* Returns predicted categories.
* @param {Array<Array<number>>} datas Sample data
* @returns {number[]} Predicted values
*/
predict(datas: Array<Array<number>>): number[];
/**
* Fit model.
*/
fit(): void;
}
declare class GeneticKMeansModel {
constructor(k: any);
_k: any;
get centroids(): any[];
_distance(a: any, b: any): number;
init(data: any): void;
_data: any;
_c: any[];
copy(): GeneticKMeansModel;
cost(): number;
fit(): void;
predict(datas: any): any;
mutation(rate: any, cm: any): void;
}
export {};