Include dependency graph for hinge_embedding_loss.hpp:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Classes | |
| class | mlpack::ann::HingeEmbeddingLoss< InputDataType, OutputDataType > |
| The Hinge Embedding loss function is often used to compute the loss between y_true and y_pred. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::ann | |
| Artificial Neural Network. | |
Detailed Description
Definition of the Hinge Embedding Loss Function. The Hinge Embedding loss function is often used to improve performance in semi-supervised learning or to learn nonlinear embeddings.
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.
