Evaluate
Submodules
kale.evaluate.metrics module
- kale.evaluate.metrics.concord_index(y, y_pred)
Calculate the Concordance Index (CI), which is a metric to measure the proportion of concordant pairs between real and predict values.
- Parameters:
y (array) – real values.
y_pred (array) – predicted values.
- kale.evaluate.metrics.auprc_auroc_ap(target: Tensor, score: Tensor)
auprc: area under the precision-recall curve auroc: area under the receiver operating characteristic curve ap: average precision
Copy-paste from https://github.com/NYXFLOWER/GripNet