Task: Machine Learning
Install: true
Description: 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.

Recommends: gprolog, yap
Comment: Prolog (and alike) systems for inductive reasoning

Recommends: libtorch3-dev

Recommends: libshogun-dev, libfann-dev, libsvm-dev, libcomplearn-dev, \
            libqsearch-dev, liblinear-dev, libocas-dev
Comment: above libraries have also variety of interfaces to high-level
 scripting languages (e.g. Python) and even possibly some interactive GUI

Recommends: python3-sklearn, python-mdp, python-mlpy
Comment: Native Python toolkits

Recommends: weka

Recommends: vowpal-wabbit

Recommends: r-cran-mass, r-cran-bayesm, r-cran-class, r-cran-cluster, \
            r-cran-msm, r-cran-mcmcpack, r-cran-mnp, r-cran-amore, \
            r-cran-gbm, r-cran-tgp
Comment: R packages

Recommends: python-mvpa2
Why: Framework for statistical learning analysis of large datasets.

Recommends: python-statsmodels
Why: Statistical models

Recommends: root-system

Recommends: libroot-tmva-dev, libroot-montecarlo-vmc-dev, libroot-math-mlp-dev
X-Comment: Somebody injected the libraries from the ROOT system explicitely
 here for machine-learning - so these were included since root-system
 is packaged again

Recommends: autoclass, mcl
Comment: Applications

Recommends: scilab-ann

Recommends: libga-dev, libevocosm-dev, pgapack, python-genetic, octave-ga, \
            python-pyevolve
Comment: Evolutionary algorithm libraries in various languages

Recommends: flann
Homepage: http://www.cs.ubc.ca/~mariusm/index.php/FLANN/FLANN
Language: C++
WNPP: 581903
License: BSD
Pkg-Description: Fast Library for Approximate Nearest Neighbors
 FLANN is a library for performing fast approximate nearest neighbor searches
 in high dimensional spaces. It contains a collection of algorithms we found
 to work best for nearest neighbor search and a system for automatically
 choosing the best algorithm and optimum parameters depending on the dataset.

Recommends: torch-core-free, lua-torch-nn, lua-torch-nngraph, lua-torch-xlua, lua-torch-trepl, lua-torch-graph, lua-torch-optim, lua-torch-image

Suggests: libmkldnn-dev

Recommends: libcv-dev, python-opencv
Why: OpenCV provides a set of ML methods for pattern recognition
 within the context of computer vision

Recommends: libvigraimpex-dev, python-vigra
Why: VIGRA is a computer vision library that provides customizable algorithms
 and datastructures, allowing for easy adaptation in applications.

Recommends: pybrain
Homepage: http://www.pybrain.org
Language: Python
WNPP: 587069
License: BSD
Pkg-Description:  Modular Machine Learning Library
 PyBrain is a modular machine learning library for Python. Its goal is to offer
 flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks
 and a variety of predefined environments to test and compare your algorithms.
 .
 PyBrain currently features algorithms for Supervised Learning, Unsupervised
 Learning, Reinforcment Learning and Black-box Optimization.

Recommends: libshark-dev

Suggests: science-statistics, science-numericalcomputation

Suggests: libacovea-dev

Suggests: science-typesetting
Meta-Suggests: svn://svn.debian.org/blends/projects/science/trunk/debian-science/tasks/typesetting

 ; Added by blends-inject 0.0.7. [now official package]
Recommends: python-pebl

Recommends: python-orange
License: GPLv3
Homepage: http://orange.biolab.si/
Pkg-URL: http://orange.biolab.si/debian/
Responsible: Mitar <mmitar@gmail.com>
Pkg-Description: Data mining framework
 Orange is a component-based data mining software. It includes a range
 of data visualization, exploration, preprocessing and modeling
 techniques. It can be used through a nice and intuitive user interface
 or, for more advanced users, as a module for Python programming language.

Recommends: python-pymc

Suggests: ask

Suggests: libdlib-dev

Recommends: r-cran-mlbench

Recommends: caffe-cpu | caffe-cuda

Recommends: torch-core-free

Recommends: libmlpack-dev

Recommends: toulbar2

Recommends: r-cran-metrics

Recommends: r-cran-mlr

Recommends: spacy

Recommends: python3-thinc

Suggests: python3-hdmedians

Recommends: python3-amp

Recommends: python3-keras

Recommends: python3-lasagne

Suggests: libfclib-dev

Suggests: libxsmm-dev
