
Go to the source code of this file.
Classes | |
| class | MSE | 
| The MeanSquaredError is a metric of performance for regression algorithms that is equal to the mean squared error between predicted values and ground truth (correct) values for given test items.  More... | |
Namespaces | |
| mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors.  | |
| mlpack::cv | |
The mean squared error (MSE).
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
Definition in file mse.hpp.