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Balík: ask (1.1.1-2)

Adaptive Sampling Kit for big experimental spaces

Adaptive Sampling Kit (ASK) is a toolkit for sampling big experimental spaces. When the space is small, the response can be measured for every point in the space. When the space is large, doing an exhaustive measurement is either not possible in terms of execution time or simply not practical. ASK tries to find good approximations of the response by sampling only a small fraction of the space. ASK features multiple active learning algorithms to prioritize the exploration of the interesting parts of the experimental space.

Ostatné balíky súvisiace s balíkom ask

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  • dep: python
    interactive high-level object-oriented language (default version)
    dep: python (>= 2.6)
  • dep: python-argparse
    virtuálny balík poskytovaný balíkom libpython2.7-stdlib
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • dep: python-scipy
    scientific tools for Python
  • dep: r-base-core (>= 2.5)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-foptions
    GNU R package for financial engineering -- fOptions
  • dep: r-cran-gbm
    GNU R package providing Generalized Boosted Regression Models
  • dep: r-cran-inline
    GNU R package to inline C, C++, Fortran functions from R
  • dep: r-cran-lattice
    GNU R package for 'Trellis' graphics
  • dep: r-cran-lhs
    GNU R package "lhs: Latin Hypercube Samples"
  • dep: r-cran-rjson
    GNU R package for converting between R and JSON objects
  • dep: r-cran-rpart
    GNU R package for recursive partitioning and regression trees
  • dep: r-cran-tgp (>= 2.4-14-2)
    GNU R package "tgp: Bayesian treed Gaussian process models"

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