getRSqaure()
Computation of AIC for linear model.
\[AIC = -2 * \log L(M) + 2 * p(M)\]where L(M) is the likelihood of model M, p(M) is the number of indepent regressors in the model
Import
import * as datacook from '@pipcook/datacook';
const { getAICLM } = datacook.Metrics;
Syntax
getAICLM(yTrue: Tensor1D | number[], yPred: Tensor1D | number[], k: number): number
Parameters
| Parameter | type | description |
|---|---|---|
| yTure | Tensor1D | number[] | True values |
| yPred | Tensor1D | number[] | Predicted values |
| k | number | number of independent regressors in the model |
Returns
number : aic score