Command-line executables for mlpack (machine learning library)

mlpack is a C++ machine learning library with emphasis on scalability, speed,

and ease-of-use. Its aim is to make machine learning possible for novice users

by means of a simple, consistent API, while simultaneously exploiting C++

language features to provide maximum performance and maximum flexibility for

expert users. mlpack outperforms competing machine learning libraries by large

margins. This package provides the command-line executables which run mlpack

methods and related documentation.

Command | Description |
---|---|

mlpack_adaboost | adaboost |

mlpack_allkfn | all k-furthest-neighbors |

mlpack_allknn | k-nearest-neighbors |

mlpack_allkrann | k-rank-approximate-nearest-neighbors (krann) |

mlpack_approx_kfn | approximate furthest neighbor search |

mlpack_cf | collaborating filtering |

mlpack_dbscan | dbscan clustering |

mlpack_decision_stump | decision stump |

mlpack_decision_tree | decision tree |

mlpack_det | density estimation with density estimation trees |

mlpack_emst | fast euclidean minimum spanning tree |

mlpack_fastmks | fastmks (fast max-kernel search) |

mlpack_gmm_generate | gmm sample generator |

mlpack_gmm_probability | gmm probability calculator |

mlpack_gmm_train | gaussian mixture model (gmm) training |

mlpack_hmm_generate | hidden markov model (hmm) sequence generator |

mlpack_hmm_loglik | hidden markov model (hmm) sequence log-likelihood |

mlpack_hmm_train | hidden markov model (hmm) training |

mlpack_hmm_viterbi | hidden markov model (hmm) viterbi state prediction |

mlpack_hoeffding_tree | hoeffding trees |

mlpack_kernel_pca | kernel principal components analysis |

mlpack_kfn | all k-furthest-neighbors |

mlpack_kmeans | k-means clustering |

mlpack_knn | k-nearest-neighbors |

mlpack_krann | k-rank-approximate-nearest-neighbors (krann) |

mlpack_lars | lars |

mlpack_linear_regression | simple linear regression and prediction |

mlpack_local_coordinate_coding | local coordinate coding |

mlpack_logistic_regression | l2-regularized logistic regression and prediction |

mlpack_lsh | all k-approximate-nearest-neighbor search with lsh |

mlpack_mean_shift | mean shift clustering |

mlpack_nbc | parametric naive bayes classifier |

mlpack_nca | neighborhood components analysis (nca) |

mlpack_nmf | non-negative matrix factorization |

mlpack_pca | principal components analysis |

mlpack_perceptron | perceptron |

mlpack_preprocess_binarize | binarize data |

mlpack_preprocess_describe | descriptive statistics |

mlpack_preprocess_imputer | impute data |

mlpack_preprocess_split | split data |

mlpack_radical | radical |

mlpack_range_search | range search |

mlpack_softmax_regression | softmax regression |

mlpack_sparse_coding | sparse coding |