Package: science-machine-learning (1.14.5)

[ Source: debian-science  ]

Debian Science Machine Learning packages

This metapackage will install packages useful for machine learning. Included packages range from knowledge-based (expert) inference systems to software implementing the advanced statistical methods that currently dominate the field.

Tags: Role: Metapackage, Application Suite: Debian

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

  Paquetes de estadística de Debian Ciencia

• sug: science-typesetting

  Paquetes de composición tipográfica de Debian Ciencia

• 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

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Architecture	Package Size	Installed Size	Files
all	10.4 kB	31.0 kB	[list of files]