log_cosh_loss: Log-Cosh loss

In stschn/deepANN: Neural Network Toolbox

Log-Cosh loss

Description

Log-Cosh loss

Usage

log_cosh_loss(actuals, preds, na.rm = FALSE)

Arguments

actuals	A numeric vector of actual values.
preds	A numeric vector of prediction values.
na.rm	A logical value indicating whether actual and prediction pairs with at least one NA value should be ignored.

Value

Log-Cosh loss.

See Also

Other Metrics: accuracy(), cross_entropy(), dice(), entropy(), erf(), erfc(), erfcinv(), erfinv(), gini_impurity(), huber_loss(), iou(), mae(), mape(), mse(), msle(), quantile_loss(), rmse(), rmsle(), rmspe(), sse(), stderror(), vc(), wape(), wmape()

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.