metrics.mean_squared_log_error

import { mean_squared_log_error } from 'machinelearn/metrics';

const y_true = [3, 0.5, 2, 7];
const y_pred = [2.5, 0.0, 2, 8];

console.log(mean_squared_error(y_true, y_pred));
// result: 0.04902636259794235

const y_true1 = [[0.5, 1], [1, 1], [7, 6]];
const y_pred1 = [[0, 2], [1, 2], [8, 5]];

console.log(mean_squared_error(y_true1, y_pred1));
// result: 0.08847352117300034