Laurae (version 0.0.0.9001)

loss_MAE: Mean Absolute Error (computation function)

Description

This function computes the Mean Absolute Error loss (MAE) per value provided preds and labels.

Usage

loss_MAE(y_pred, y_true)

Arguments

y_pred

The predictions.

y_true

The labels.

Value

The Squared Error per value.

Details

Supposing: \(x = preds - labels\) Loss Formula : \(abs(x)\) Gradient Formula : \(sign(x)\) Hessian Formula : \(0\)