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