metrics.mean_absolute_error
▸ mean_absolute_error(y_true: `object`, y_pred: `object`, sample_weight: `object`)
Usage
import { mean_absolute_error } from 'machinelearn/metrics';
const y_true = [3, -0.5, 2, 7]
const y_pred = [2.5, 0.0, 2, 8]
mean_absolute_error(y_true, y_pred); // 0.5
Defined in metrics/regression.ts:21
Parameters:
| Param | Type | Default | Description |
|---|---|---|---|
| y_true | number[] or number[][] | null | Ground truth (correct) target values. |
| y_pred | number[] or number[][] | null | Estimated target values. |
| sample_weight | number[] | null |
Returns:
number