mlpack
brew install mlpackScalable C++ machine learning library
License: BSD-3-Clause AND MPL-2.0 AND BSL-1.0 AND MIT
Development: Pull requests
Formula JSON API: /api/formula/mlpack.json
Formula code: mlpack.rb on GitHub
Bottle (binary package) installation support provided for:
| macOS on Apple Silicon |
tahoe | ✅ |
|---|---|---|
| sequoia | ✅ | |
| sonoma | ✅ | |
| macOS on Intel |
sonoma | ✅ |
| Linux | ARM64 | ✅ |
| x86_64 | ✅ |
Current versions:
| stable | ✅ | 4.8.0 |
| head | ⚡️ | HEAD |
Depends on:
| armadillo | 15.6.0 | C++ linear algebra library |
| cereal | 1.3.2 | C++11 library for serialization |
| ensmallen | 3.11.1 | Flexible C++ library for efficient mathematical optimization |
Depends on when building from source:
| cmake | 4.4.3 | Cross-platform make |
| pkgconf | 3.0.7 | Package compiler and linker metadata toolkit |
Binaries:
mlpack_adaboost,
mlpack_approx_kfn,
mlpack_bayesian_linear_regression,
mlpack_cf,
mlpack_dbscan,
mlpack_decision_tree,
mlpack_det,
mlpack_emst,
mlpack_fastmks,
mlpack_gmm_generate,
mlpack_gmm_probability,
mlpack_gmm_train,
mlpack_hmm_generate,
mlpack_hmm_loglik,
mlpack_hmm_train,
mlpack_hmm_viterbi,
mlpack_hoeffding_tree,
mlpack_image_converter,
mlpack_kde,
mlpack_kernel_pca,
mlpack_kfn,
mlpack_kmeans,
mlpack_knn,
mlpack_krann,
mlpack_lars,
mlpack_linear_regression,
mlpack_linear_svm,
mlpack_lmnn,
mlpack_local_coordinate_coding,
mlpack_logistic_regression,
mlpack_lsh,
mlpack_mean_shift,
mlpack_nbc,
mlpack_nca,
mlpack_nmf,
mlpack_pca,
mlpack_perceptron,
mlpack_preprocess_binarize,
mlpack_preprocess_describe,
mlpack_preprocess_imputer,
mlpack_preprocess_one_hot_encoding,
mlpack_preprocess_scale,
mlpack_preprocess_split,
mlpack_radical,
mlpack_random_forest,
mlpack_range_search,
mlpack_softmax_regression,
mlpack_sparse_coding
Analytics:
| 30 days | 90 days | 365 days | |
|---|---|---|---|
| Installs | 5 | 53 | 321 |
| Installs on Request | 5 | 53 | 321 |
| Build Errors | 0 |