hinge_embedding_loss.hpp File Reference
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Classes

class  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

Author
Lakshya Ojha

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.

Definition in file hinge_embedding_loss.hpp.