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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, 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-fann2
Recommends: python3-sklearn, python3-mdp
Comment: Native Python toolkits
Recommends: python3-mlpy
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: python3-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, octave-ga
Comment: Evolutionary algorithm libraries in various languages
Recommends: python3-genetic
#Recommends: python-pyevolve
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
Recommends: python3-torch, python3-torch-sparse
Suggests: libmkldnn-dev
Recommends: libcv-dev, python3-opencv
Why: OpenCV provides a set of ML methods for pattern recognition
within the context of computer vision
Recommends: libvigraimpex-dev
Recommends: python3-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: 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: python3-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
Recommends: streamlit
Remark: Needed for chime which is COVID-19 relevant.
Help for packaging is needed.
Suggests: libxgboost-predictor-java
Suggests: python3-imblearn
Suggests: libdlib-dev
Suggests: libdlpack-dev
Suggests: libfannj-java
Suggests: python3-liac-arff
Recommends: mrgingham
Suggests: libmrgingham-dev, python3-mrgingham
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