mlpack
2.0.1
|
▼Nboost | |
▼Nserialization | |
Nstl | |
▼Nmlpack | Linear algebra utility functions, generally performed on matrices or vectors |
Nadaboost | |
Namf | Alternating Matrix Factorization |
▼Nbound | |
Nmeta | Metaprogramming utilities |
Ncf | Collaborative filtering |
Ndata | Functions to load and save matrices and models |
Ndecision_stump | |
Ndet | Density Estimation Trees |
Ndistribution | Probability distributions |
Nemst | Euclidean Minimum Spanning Trees |
Nfastmks | Fast max-kernel search |
Ngmm | Gaussian Mixture Models |
Nhmm | Hidden Markov Models |
Nkernel | Kernel functions |
Nkmeans | K-Means clustering |
Nkpca | |
Nlcc | |
Nmath | Miscellaneous math routines |
Nmatrix_completion | |
Nmeanshift | Mean shift clustering |
Nmetric | |
Nnaive_bayes | The Naive Bayes Classifier |
Nnca | Neighborhood Components Analysis |
Nneighbor | Neighbor-search routines |
Nnn | |
▼Noptimization | |
Ntest | |
Npca | |
Nperceptron | |
Nradical | |
Nrange | Range-search routines |
Nregression | Regression methods |
Nsparse_coding | |
Nsvd | |
Ntree | Trees and tree-building procedures |
Nutil |