Paketti: ask (1.1.1-3)

[ Source: ask  ]

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.

Muut pakettiin ask liittyvät paketit

• dep: python

  interactive high-level object-oriented language (Python2 version)

• dep: python-argparse

  näennäispaketti, jonka toteuttaa 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

  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 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 Bayesian treed Gaussian process models

Imuroi ask

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
all	2,065.8 kt	7,047.0 kt	[tiedostoluettelo]