@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
61 lines (60 loc) • 1.53 kB
TypeScript
/**
* Association analysis
*/
export default class AssociationAnalysis {
/**
* @param {number} support Minimum support
*/
constructor(support: number);
_support: number;
/**
* Fit model.
* @param {Array<Array<*>>} x Training data
*/
fit(x: Array<Array<any>>): void;
_x: any[][];
_commons: SetKeyMap[];
/**
* Returns appearing keys.
* @param {number} n Length of key
* @returns {Iterator<string[]>} Appearing keys
*/
items(n?: number): Iterator<string[]>;
/**
* Returns support value.
* @param {...*} a Keys
* @returns {number} Support value
*/
support(...a: any[]): number;
/**
* Returns confidence value.
* @param {*} a Key
* @param {*} b Key
* @returns {number} Confidence value
*/
confidence(a: any, b: any): number;
/**
* Returns lift value.
* @param {*} a Key
* @param {*} b Key
* @returns {number} Lift value
*/
lift(a: any, b: any): number;
}
declare class SetKeyMap {
_map: Map<any, any>;
_keymap: {};
get size(): number;
_getsamekey(key: any): any;
clear(): void;
delete(key: any): boolean;
get(key: any): any;
has(key: any): boolean;
set(key: any, value: any): void;
keys(): IterableIterator<any>;
values(): IterableIterator<any>;
entries(): IterableIterator<[any, any]>;
forEach(callback: any, thisArg: any): void;
[Symbol.iterator](): Generator<any, void, undefined>;
}
export {};