soft_margin_loss.hpp File Reference
Include dependency graph for soft_margin_loss.hpp:
Go to the source code of this file.
Classes | |
| class | SoftMarginLoss< InputDataType, OutputDataType > |
Namespaces | |
| mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::ann | |
Artificial Neural Network. | |
Detailed Description
Definition of the Soft Margin Loss function.
It is a criterion that optimizes a two-class classification logistic loss, between input x and target y, both having the same shape, with the target containing only the values 1 or -1.
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 soft_margin_loss.hpp.