Package: science-machine-learning (1.14.5)
Debian Science Machine Learning packages
Other Packages Related to science-machine-learning:
dep: [science-config] (= 1.14.5)
Debian Science Project config package
dep: [science-tasks] (= 1.14.5)
Debian Science tasks for tasksel
rec: [autoclass]
automatic classification or clustering
rec: [gprolog]
GNU Prolog compiler
rec: [libfann-dev]
Development libraries and header files for FANN
rec: [libga-dev]
C++ Library of Genetic Algorithm Components
rec: [liblinear-dev]
Development libraries and header files for LIBLINEAR
rec: [libocas-dev]
Development libraries and header files for LIBOCAS
rec: [libsvm-dev]
LIBSVM header files
rec: [libvigraimpex-dev]
development files for the C++ computer vision library
rec: [mcl]
Markov Cluster algorithm
rec: [octave-ga]
genetic optimization code for Octave
rec: [python3-fann2]
Python 3 bindings for FANN
rec: [python3-genetic]
genetic algorithms in Python
rec: [python3-mdp]
Modular toolkit for Data Processing
rec: [python3-mlpy]
high-performance Python package for predictive modeling
rec: [python3-opencv]
Python 3 bindings for the computer vision library
rec: [python3-sklearn]
Python modules for machine learning and data mining - Python 3
rec: [python3-statsmodels]
Python3 module for the estimation of statistical models
rec: [python3-torch]
Tensors and Dynamic neural networks in Python (Python Interface)
rec: [python3-vigra]
Python3 bindings for the C++ computer vision library
rec: [r-cran-amore]
GNU R: A MORE flexible neural network package
rec: [r-cran-bayesm]
GNU R package for Bayesian inference
rec: [r-cran-class]
GNU R package for classification
rec: [r-cran-cluster]
GNU R package for cluster analysis by Rousseeuw et al
rec: [r-cran-gbm]
GNU R package providing Generalized Boosted Regression Models
rec: [r-cran-mass]
GNU R package of Venables and Ripley's MASS
rec: [r-cran-mcmcpack]
R routines for Markov chain Monte Carlo model estimation
rec: [r-cran-mnp]
GNU R package for fitting multinomial probit (MNP) models
rec: [r-cran-msm]
GNU R Multi-state Markov and hidden Markov models in continuous time
rec: [r-cran-tgp]
GNU R Bayesian treed Gaussian process models
rec: [weka]
Machine learning algorithms for data mining tasks
sug: flann
Package not available
sug: libcv-dev
Package not available
sug: libevocosm-dev
Package not available
sug: libmkldnn-dev
Package not available
sug: libroot-math-mlp-dev
Package not available
sug: libroot-montecarlo-vmc-dev
Package not available
sug: libroot-tmva-dev
Package not available
sug: libshark-dev
Package not available
sug: libshogun-dev
Package not available
sug: libtorch3-dev
Package not available
sug: lua-torch-graph
Package not available
sug: lua-torch-image
Package not available
sug: lua-torch-nn
Package not available
sug: lua-torch-nngraph
Package not available
sug: lua-torch-optim
Package not available
sug: lua-torch-trepl
Package not available
sug: lua-torch-xlua
Package not available
sug: pgapack
Package not available
sug: pybrain
Package not available
sug: python3-torch-sparse
Package not available
sug: root-system
Package not available
sug: [science-numericalcomputation]
Debian Science Numerical Computation packages
sug: [science-statistics]
Debian Science Statistics packages
sug: [science-typesetting]
Debian Science typesetting packages
sug: scilab-ann
Package not available
sug: torch-core-free
Package not available
sug: vowpal-wabbit
Package not available
sug: yap
Package not available
Download science-machine-learning
| Architecture | Package size | Installed size | Files | Package |
|---|---|---|---|---|
| all | 10 KiB | 31 KiB | list of files | Download |
Percorsi file del pacchetto (0)
Paths come from the repository package-file index for the observed builds. They describe archive/package associations, not every file that will exist on a running system after maintainer scripts, alternatives, generated state, diversions, or installation choices.
No package-associated file paths were observed for the displayed build metadata.
Field source: Debian 12 (Bookworm) main amd64 revision bookworm-main-amd64:9e0b5aabb2465b3d2e7a7fe27f9913846277833f7a2826e7767acccff5b588c5