#include <mlpack/prereqs.hpp>
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Classes | |
| class | mlpack::ensemble::SSELoss |
| The SSE (Sum of Squared Errors) loss is a loss function to measure the quality of prediction of response values present in the node of each xgboost tree. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
The sum of squared error loss class, which is a loss funtion for gradient xgboost based decision trees.
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.
