Package: science-machine-learning (1.0)

[ Source: debian-science  ]

Debian Science Machine Learning packages

This metapackage will install Debian packages which might be useful for scientists interested in machine learning. Included packages range from knowledge-based (expert) inference systems to software implementing dominant nowadays statistical methods.

Tags: Role: Metapackage, Application Suite: Debian

Other Packages Related to science-machine-learning

• dep: science-config (= 1.0)

  Debian Science Project config package

• dep: science-tasks (= 1.0)

  Debian Science tasks for tasksel

• rec: autoclass

  automatic classification or clustering

• rec: gprolog

  GNU Prolog compiler

• rec: libcv-dev

  Translation package for libcv-dev

• rec: libevocosm-dev

  C++ framework for developing evolutionary algorithms

• 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: libroot-math-mlp-dev

  Multi layer perceptron extension for ROOT - development files

• rec: libroot-montecarlo-vmc-dev

  Virtual Monte-Carlo library for ROOT - development files

• rec: libroot-tmva-dev

  Toolkit for multivariate data analysis - development files

• rec: libsvm-dev

  LIBSVM header files

• rec: libtorch3-dev

  State of the art machine learning library - development files

• rec: libvigraimpex-dev

  development files for the C++ computer vision library

• rec: lush

  Lisp Universal Shell Executable

• rec: mcl

  Markov Cluster algorithm

• rec: octave-ga

  genetic optimization code for Octave

• rec: pgapack

  General-purpose genetic algorithm package

• rec: python-genetic

  genetic algorithms in Python

• rec: python-mdp

  Modular toolkit for Data Processing

• rec: python-mlpy

  high-performance Python package for predictive modeling

• rec: python-mvpa

  multivariate pattern analysis with Python

• rec: python-opencv

  Python bindings for the computer vision library

• rec: python-pebl

  Python Environment for Bayesian Learning

• rec: python-pyevolve

  Complete genetic algorithm framework

• rec: python-pyke

  Prolog-inspired Python logic programming toolkit

• rec: python-scikits-learn

  transitional compatibility package for scikits.learn -> sklearn migration

• rec: python-statsmodels

  Python module for the estimation of statistical models

• rec: python-vigra

  Python 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-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: root-system

  metapackage to install all ROOT packages

• rec: scilab-ann

  Scilab module for artificial neural networks

• rec: vowpal-wabbit

  fast and scalable online machine learning algorithm

• rec: weka

  Machine learning algorithms for data mining tasks

• rec: yap

  High-performance Prolog System

• sug: flann

  Package not available

• sug: libacovea-dev

  Package not available

• sug: libcomplearn-dev

  Package not available

• sug: libqsearch-dev

  Package not available

• sug: libshark-dev

  Package not available

• sug: libshogun-dev

  Package not available

• sug: lua-torch5

  Package not available

• sug: pybrain

  Package not available

• sug: python-orange

  Package not available

• sug: python-pymc

  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

Download science-machine-learning

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Architecture	Package Size	Installed Size	Files
all	7.7 kB	60.0 kB	[list of files]