getRSqaure()
Computation of mean squared error.
\[MSE = 1 / n * \sum (yTrue - yPred)^2\]Import
import * as datacook from '@pipcook/datacook';
const { getMeanSquaredError } = datacook.Metrics;
Syntax
getMeanSquaredError(yTrue: Tensor1D | number[], yPred: Tensor1D | number[]): number
Parameters
| Parameter | type | description |
|---|---|---|
| yTure | Tensor1D | number[] | True values |
| yPred | Tensor1D | number[] | Predicted values |
Returns
number : mean squared error