sse_loss.hpp File Reference
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Classes | |
| class | 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. | |
| mlpack::ensemble | |
Detailed Description
The sum of squared error loss class, which is a loss funtion for gradient xgboost based decision trees.
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Definition in file sse_loss.hpp.