getRecallScores()
Compute the precision score for all classes.
Recall score is the ratio tp / (tp + fn), where tp is the number of true positives and fn the number of false negtive. The recall is intuitively the ability of the classifier to find all the positive samples.
Import
import * as datacook from '@pipcook/datacook';
const { getRecallScores } = datacook.Metrics;
Syntax
getRecallScores(yTrue: Tensor | string[] | number[], yPred: Tensor | string[] | number[]): number
Parameters
| Parameter | type | description |
|---|---|---|
| yTure | Tensor | string[] | number[] | True labels |
| yPred | Tensor | string[] | number[] | Predicted labels |
Returns
Tensor : tensor of recall scores