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Classes | |
| class | mlpack::tree::MSEGain |
| The MSE (Mean squared error) gain, is a measure of set purity based on the variance of response values present in the node. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::tree | |
| Trees and tree-building procedures. | |
Detailed Description
The mean squared error gain class, which is a fitness funtion for regression 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.
