@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
42 lines (41 loc) • 1.22 kB
TypeScript
/**
* Normal Herd
*/
export default class NormalHERD {
/**
* @param {'full' | 'exact' | 'project' | 'drop'} [type] Method name
* @param {number} [c] Tradeoff value between passiveness and aggressiveness
*/
constructor(type?: 'full' | 'exact' | 'project' | 'drop', c?: number);
_m: Matrix<number>;
_s: Matrix<number>;
_c: number;
_method: "exact" | "drop" | "full" | "project";
/**
* Initialize this model.
* @param {Array<Array<number>>} train_x Training data
* @param {Array<1 | -1>} train_y Target values
*/
init(train_x: Array<Array<number>>, train_y: Array<1 | -1>): void;
_x: Matrix<number[]>;
_shift: Matrix<number>;
_y: (1 | -1)[];
_d: number;
/**
* Update model parameters with one data.
* @param {Matrix} x Training data
* @param {1 | -1} y Target value
*/
update(x: Matrix, y: 1 | -1): void;
/**
* Fit model parameters.
*/
fit(): void;
/**
* Returns predicted datas.
* @param {Array<Array<number>>} data Sample data
* @returns {(1 | -1)[]} Predicted values
*/
predict(data: Array<Array<number>>): (1 | -1)[];
}
import Matrix from '../util/matrix.js';