@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
32 lines (31 loc) • 985 B
TypeScript
/**
* Kernelized perceptron
*/
export default class KernelizedPerceptron {
/**
* @param {number} [rate] Learning rate
* @param {'gaussian' | 'polynomial' | { name: 'gaussian', s?: number } | { name: 'polynomial', d?: number } | function (number[], number[]): number} [kernel] Kernel name
*/
constructor(rate?: number, kernel?: 'gaussian' | 'polynomial' | {
name: 'gaussian';
s?: number;
} | {
name: 'polynomial';
d?: number;
} | ((arg0: number[], arg1: number[]) => number));
_r: number;
_kernel: any;
_i: any[];
/**
* Fit model.
* @param {Array<Array<number>>} x Training data
* @param {Array<1 | -1>} y Target values
*/
fit(x: Array<Array<number>>, y: Array<1 | -1>): void;
/**
* Returns predicted values.
* @param {Array<Array<number>>} data Sample data
* @returns {(1 | -1)[]} Predicted values
*/
predict(data: Array<Array<number>>): (1 | -1)[];
}