Installation

Weitere Installationsbefehle

macOS

Homebrewverifiziert · 100%

brew install mlpack

local Homebrew formula metadata

MacPortsverifiziert · 94%

sudo port install mlpack

MacPorts ports tree · math/mlpack/Portfile · Quelle: api.github.com

Linux

Debian aptverifiziert · 92%

sudo apt install libmlpack-dev

Debian stable package indexes · libmlpack-dev · Quelle: deb.debian.org

Fedora dnfverifiziert · 92%

sudo dnf install mlpack-bin

Fedora Rawhide package metadata · mlpack-bin · Quelle: dl.fedoraproject.org

Überblick

Paketzusammenfassung

Scalable C++ machine learning library

Projektlinks

Befehle und Aliase

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

Verlauf

Projektgeschichte und Nutzung

mlpack is an open-source C++ machine-learning library whose published history traces back to an original inception in 2007 and a public late-2011 release. The 2013 JMLR paper by Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, and Alexander G. Gray presented MLPACK as a scalable, multi-platform C++ library with a simple API for new users and high-performance flexibility for expert users.

Projektgeschichte

The project grew into a broader scientific-computing library and community. A 2018 OpenReview workshop paper described mlpack as emphasizing speed and flexibility and implementing a wide variety of machine-learning algorithms. The 2023 JOSS paper for mlpack 4 marked a major technical milestone: a fast, header-only C++ library release with authorship spanning the expanded contributor community.

Wie es verwendet wird

In practice mlpack is used either as a C++ library, commonly by including `<mlpack.hpp>` and linking against Armadillo, or through command-line programs and bindings for Python, Julia, Go, and R. Its own README describes the project as a machine-learning analogue to LAPACK and as a "swiss army knife" for machine-learning researchers, while the homepage names Armadillo, ensmallen, and cereal as core foundations. In package-manager ecosystems it occupies the intersection of scientific C++ development library and installed algorithm CLI suite, with Homebrew exposing many `mlpack_*` executables for common methods such as k-means, PCA, nearest-neighbor search, random forests, regression, and preprocessing.

Quellen

Sicherheitslage

Risikostufe: blue

broad file, network, media, or database tool signal.

Risikoklassifikator

blue Risiko · mittel Konfidenz · tool

Warum

broad file, network, media, or database tool signal

Signale

text:image

Installationsverhalten

In den Formelmetadaten ist kein Homebrew-Post-install-Hook erfasst.
Homebrew-Bottle-Metadaten sind für 6 Plattformziele verfügbar.
Installiert mit 3 Laufzeitabhängigkeiten.
Build-Metadaten listen 2 Build-Abhängigkeiten.

Empfohlene Prüfung

Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.

Executables

Installierte Executables

Befehl	Art	Sichtbarkeit
`mlpack_adaboost`	cli	globales Executable
`mlpack_approx_kfn`	cli	globales Executable
`mlpack_bayesian_linear_regression`	cli	globales Executable
`mlpack_cf`	cli	globales Executable
`mlpack_dbscan`	cli	globales Executable
`mlpack_decision_tree`	cli	globales Executable
`mlpack_det`	cli	globales Executable
`mlpack_emst`	cli	globales Executable
`mlpack_fastmks`	cli	globales Executable
`mlpack_gmm_generate`	cli	globales Executable
`mlpack_gmm_probability`	cli	globales Executable
`mlpack_gmm_train`	cli	globales Executable
`mlpack_hmm_generate`	cli	globales Executable
`mlpack_hmm_loglik`	cli	globales Executable
`mlpack_hmm_train`	cli	globales Executable
`mlpack_hmm_viterbi`	cli	globales Executable
`mlpack_hoeffding_tree`	cli	globales Executable
`mlpack_image_converter`	cli	globales Executable
`mlpack_kde`	cli	globales Executable
`mlpack_kernel_pca`	cli	globales Executable
`mlpack_kfn`	cli	globales Executable
`mlpack_kmeans`	cli	globales Executable
`mlpack_knn`	cli	globales Executable
`mlpack_krann`	cli	globales Executable
`mlpack_lars`	cli	globales Executable
`mlpack_linear_regression`	cli	globales Executable
`mlpack_linear_svm`	cli	globales Executable
`mlpack_lmnn`	cli	globales Executable
`mlpack_local_coordinate_coding`	cli	globales Executable
`mlpack_logistic_regression`	cli	globales Executable
`mlpack_lsh`	cli	globales Executable
`mlpack_mean_shift`	cli	globales Executable
`mlpack_nbc`	cli	globales Executable
`mlpack_nca`	cli	globales Executable
`mlpack_nmf`	cli	globales Executable
`mlpack_pca`	cli	globales Executable
`mlpack_perceptron`	cli	globales Executable
`mlpack_preprocess_binarize`	cli	globales Executable
`mlpack_preprocess_describe`	cli	globales Executable
`mlpack_preprocess_imputer`	cli	globales Executable
`mlpack_preprocess_one_hot_encoding`	cli	globales Executable
`mlpack_preprocess_scale`	cli	globales Executable
`mlpack_preprocess_split`	cli	globales Executable
`mlpack_radical`	cli	globales Executable
`mlpack_random_forest`	cli	globales Executable
`mlpack_range_search`	cli	globales Executable
`mlpack_softmax_regression`	cli	globales Executable
`mlpack_sparse_coding`	cli	globales Executable

Aktualität

Version und Aktualität

Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.

Seite generiert2026-07-25

Manager-Version4.8.0

Manager aktualisiert2026-06-25

lokale DatenOK

Upstreamnot checked

neueste erkannte Versionnicht erkannt

https://www.mlpack.org

InfoRelease/tag comparison is only available for GitHub repositories.https://www.mlpack.orgnone Konfidenz

Installationsmetadaten

Paketmetadaten

Paketschlüssel	brew:mlpack
Version	4.8.0
Paketmanager	Homebrew
Paketmanager-Seite	https://formulae.brew.sh/formula/mlpack
Homepage	https://www.mlpack.org
Repository	https://github.com/mlpack/mlpack
Upstream-Dokumentation	https://www.mlpack.org/doc
Lizenz	BSD-3-Clause AND MPL-2.0 AND BSL-1.0 AND MIT
Quellarchiv	https://mlpack.org/files/mlpack-4.8.0.tar.gz
Zuletzt aktualisiert	2026-06-25T13:37:55+02:00
Pulse	updated
Abhängigkeiten	armadillo, cereal, ensmallen
Build-Abhängigkeiten	cmake, pkgconf
Bottle	verfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install	nicht definiert
Dienst	keiner deklariert

Registry-Fakten

Details aus der Quelldatenbank

Source Database	Homebrew formula API
Tap	homebrew/core
Full Name	mlpack
Version Scheme	0
Revision	0
Head Version	HEAD
Bottle Stable Root URL	https://ghcr.io/v2/homebrew/core
Deprecated	no
Disabled	no
Keg Only	no
URL Keys	head stable

Source-Datenbank-Treffer

Andere Paketmanager-Einträge

Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.

Debian apt95%

libmlpack-dev 4.6.0-1

intuitive, fast, scalable C++ machine learning library (development libs)

https://www.mlpack.org/

sudo apt install libmlpack-dev

Section: libdevel
Architecture: amd64
Source Package: mlpack
4 Abhängigkeiten
2 optionale Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Debian stable package indexes · deb.debian.org · Debian stable package indexes: libmlpack-dev from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

Debian apt95%

mlpack-bin 4.6.0-1

intuitive, fast, scalable C++ machine learning library (binaries)

https://www.mlpack.org/

sudo apt install mlpack-bin

Section: science
Architecture: amd64
Source Package: mlpack
5 Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Debian stable package indexes · deb.debian.org · Debian stable package indexes: mlpack-bin from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

Debian apt95%

mlpack-doc 4.6.0-1

intuitive, fast, scalable C++ machine learning library (documentation)

https://www.mlpack.org/

sudo apt install mlpack-doc

Section: doc
Architecture: all
Source Package: mlpack
1 Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Debian stable package indexes · deb.debian.org · Debian stable package indexes: mlpack-doc from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

Debian apt95%

python3-mlpack 4.6.0-1

intuitive, fast, scalable C++ machine learning library (Python bindings)

https://www.mlpack.org/

sudo apt install python3-mlpack

Section: python
Architecture: amd64
Source Package: mlpack
10 Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Debian stable package indexes · deb.debian.org · Debian stable package indexes: python3-mlpack from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

Ubuntu apt95%

libmlpack-dev 4.3.0-2build1

intuitive, fast, scalable C++ machine learning library (development libs)

https://www.mlpack.org/

sudo apt install libmlpack-dev

Section: universe/libdevel
Architecture: amd64
Source Package: mlpack
6 Abhängigkeiten
1 optionale Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: libmlpack-dev from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz

Ubuntu apt95%

mlpack-bin 4.3.0-2build1

intuitive, fast, scalable C++ machine learning library (binaries)

https://www.mlpack.org/

sudo apt install mlpack-bin

Section: universe/science
Architecture: amd64
Source Package: mlpack
7 Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: mlpack-bin from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz

Ubuntu apt95%

mlpack-doc 4.3.0-2build1

intuitive, fast, scalable C++ machine learning library (documentation)

https://www.mlpack.org/

sudo apt install mlpack-doc

Section: universe/doc
Architecture: all
Source Package: mlpack
2 Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: mlpack-doc from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz

Ubuntu apt95%

python3-mlpack 4.3.0-2build1

intuitive, fast, scalable C++ machine learning library (Python bindings)

https://www.mlpack.org/

sudo apt install python3-mlpack

Section: universe/python
Architecture: amd64
Source Package: mlpack
9 Abhängigkeiten
normalized package name match
Abgeglichen nach: Mlpack

Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: python3-mlpack from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz

dnf95%

mlpack-bin 4.7.0-3.fc45

Command-line executables for mlpack (machine learning library)

http://www.mlpack.org

sudo dnf install mlpack-bin

License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
Category: Unspecified
Architecture: x86_64
Source Package: mlpack
9 Abhängigkeiten
1 stellt bereit
normalized package name match
Abgeglichen nach: Mlpack

Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: mlpack-bin from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst

dnf95%

mlpack-devel 4.7.0-3.fc45

Development headers for mlpack (C++ machine learning library)

http://www.mlpack.org

sudo dnf install mlpack-devel

License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
Category: Unspecified
Architecture: x86_64
Source Package: mlpack
9 Abhängigkeiten
3 stellt bereit
normalized package name match
Abgeglichen nach: Mlpack

Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: mlpack-devel from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst

dnf95%

mlpack-licenses 4.7.0-3.fc45

Licenses and information files for mlpack (machine learning library)

http://www.mlpack.org

sudo dnf install mlpack-licenses

License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
Category: Unspecified
Architecture: x86_64
Source Package: mlpack
1 stellt bereit
normalized package name match
Abgeglichen nach: Mlpack

Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: mlpack-licenses from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst

dnf95%

mlpack-python3 4.7.0-3.fc45

Python 3 bindings for mlpack (C++ machine learning library)

http://www.mlpack.org

sudo dnf install mlpack-python3

License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
Category: Unspecified
Architecture: x86_64
Source Package: mlpack
14 Abhängigkeiten
3 stellt bereit
normalized package name match
Abgeglichen nach: Mlpack

Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: mlpack-python3 from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst

MacPorts95%

mlpack

sudo port install mlpack

normalized package name match
Abgeglichen nach: Mlpack

MacPorts ports tree · api.github.com · MacPorts ports tree: math/mlpack/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

Paketgraph

Links stammen aus dem lokalen Paketbeziehungsgraph, Ergänzungen, Abhängigkeitskanten, Ecosystem-Matches und Paket-Hub-Mitgliedschaft.

Quellspur

Aus Repository-Daten generiert

Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.

Combined YAML source

View the package source record on GitHub.

combined/mlpack.yml

Verwendete Quellen

Geiger risk classifier
Nucleus package database
av.db category and tag curation
cross-ecosystem install command graph
curated package history
external package-manager database matches
package relationship graph
package version freshness
package-page enrichment

mlpack mit Homebrew, MacPorts, apt, dnf installieren

Weitere Installationsbefehle

macOS

Linux

Paketzusammenfassung

Projektlinks

Befehle und Aliase

Projektgeschichte und Nutzung

Projektgeschichte

Wie es verwendet wird

Quellen

Risikostufe: blue

Risikoklassifikator

Warum

Signale

Installationsverhalten

Empfohlene Prüfung

Installierte Executables

Version und Aktualität

Paketmetadaten

Details aus der Quelldatenbank

Andere Paketmanager-Einträge

Interne Paketlinks

Themen-Hubs

Verwandte Tools

Gleicher Workflow

Agent-Sicherheitsleitfäden

Aus Repository-Daten generiert

Combined YAML source

Verwendete Quellen