evaluate_linear: Evaluate matrices of true targets and predictions from layer...

In GenomeNet/deepG: Deep Learning for Genome Sequence Data

Evaluate matrices of true targets and predictions from layer with linear activation.

Description

Compute MAE and MSE, given predictions and true targets. Outputs columnwise average.

Usage

evaluate_linear(y_true, y_pred, label_names = NULL)

Arguments

y_true	Matrix of true labels.
y_pred	Matrix of predictions.
label_names	Names of corresponding labels. Length must be equal to number of columns of y.

Value

A list of evaluation results.

Examples

y_true <- matrix(rnorm(n = 12), ncol = 3)
y_pred <- matrix(rnorm(n = 12), ncol = 3)
evaluate_linear(y_true, y_pred)

GenomeNet/deepG documentation built on Dec. 24, 2024, 12:11 p.m.