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mlpack
3.4.2
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| Set the serialization version of the adaboost class | |
| Linear algebra utility functions, generally performed on matrices or vectors | |
| Alternating Matrix Factorization | |
| Artificial Neural Network | |
| Metaprogramming utilities | |
| Collaborative filtering | |
| Functions to load and save matrices and models | |
| Density Estimation Trees | |
| Probability distributions | |
| Euclidean Minimum Spanning Trees | |
| Fast max-kernel search | |
| Gaussian Mixture Models | |
| Hidden Markov Models | |
| Kernel Density Estimation | |
| Kernel functions | |
| K-Means clustering | |
| Large Margin Nearest Neighbor | |
| Miscellaneous math routines | |
| Mean shift clustering | |
| The Naive Bayes Classifier | |
| Neighborhood Components Analysis | |
| Range-search routines | |
| Regression methods | |
| Trees and tree-building procedures | |
1.8.5