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mlpack
3.0.4
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| ▼Nboost | Set the serialization version of the FFN class |
| Nserialization | |
| ▼Nmlpack | .hpp |
| Nadaboost | |
| Namf | Alternating Matrix Factorization |
| ▼Nann | Artificial Neural Network |
| ▼Naugmented | |
| Nscorers | |
| Ntasks | |
| ▼Nbindings | |
| Ncli | |
| Npython | |
| Ntests | |
| ▼Nbound | |
| Naddr | |
| Nmeta | Metaprogramming utilities |
| Ncf | Collaborative filtering |
| Ncv | |
| Ndata | Functions to load and save matrices and models |
| Ndbscan | |
| 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 |
| Nhpt | |
| Nkernel | Kernel functions |
| Nkmeans | K-Means clustering |
| Nkpca | |
| Nlcc | |
| Nmath | Miscellaneous math routines |
| Nmatrix_completion | |
| Nmeanshift | Mean shift clustering |
| Nmetric | |
| Nmvu | |
| Nnaive_bayes | The Naive Bayes Classifier |
| Nnca | Neighborhood Components Analysis |
| Nneighbor | |
| Nnn | |
| ▼Noptimization | |
| Naux | |
| Ntest | |
| Ntraits | |
| Npca | |
| Nperceptron | |
| Nradical | |
| Nrange | Range-search routines |
| Nregression | Regression methods |
| Nrl | |
| Nsfinae | |
| Nsparse_coding | |
| Nsvd | |
| ▼Ntree | Trees and tree-building procedures |
| Nenumerate | |
| Nsplit | |
| Nutil | |
| Nstd |
1.8.14