Paket: r-cran-mlr (2.19.1+dfsg-1)

[ Källkod: r-cran-mlr  ]

Machine learning in GNU R

Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.

Andra paket besläktade med r-cran-mlr

• dep: r-api-4.0

  virtuellt paket som tillhandahålls av r-base-core

• dep: r-base-core (>= 4.2.1-2)

  GNU R core of statistical computation and graphics system

• dep: r-cran-backports (>= 1.1.0)

  reimplementation of functions introduced since R-3.0.0

• dep: r-cran-bbmisc (>= 1.11)

  GNU R Miscellaneous helper functions for B. Bischl

• dep: r-cran-checkmate (>= 1.8.2)

  GNU R fast and versatile argument checks

• dep: r-cran-data.table (>= 1.12.4)

  GNU R extension of Data.frame

• dep: r-cran-ggplot2

  implementation of the Grammar of Graphics

• dep: r-cran-parallelmap (>= 1.3)

  GNU R unified interface to parallelization back-ends

• dep: r-cran-paramhelpers (>= 1.10)

  GNU R helpers for parameters in black-box optimization and tuning

• dep: r-cran-stringi

  GNU R character string processing facilities

• dep: r-cran-survival

  GNU R package for survival analysis

• dep: r-cran-xml

  GNU R package for XML parsing and generation

• rec: r-cran-mlbench

  GNU R Machine Learning Benchmark Problems

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-cran-batchtools

  GNU R tools for computation on batch systems

• sug: r-cran-bit64

  GNU R S3 Class for Vectors of 64bit Integers

• sug: r-cran-caret (>= 6.0-57)

  GNU R package for classification and regression training

• sug: r-cran-class

  GNU R package for classification

• sug: r-cran-clue

  GNU R cluster ensembles

• sug: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• sug: r-cran-cowplot

  GNU R streamlined plot theme and plot annotations for 'ggplot2'

• sug: r-cran-e1071

  GNU R package with miscellaneous functions of the Dept of Statisics (e1071)

• sug: r-cran-earth

  GNU R multivariate adaptive regression splines

• sug: r-cran-emoa

  GNU R evolutionary multiobjective optimization algorithms

• sug: r-cran-fnn

  GNU R fast nearest neighbor search algorithms and applications

• sug: r-cran-forecast (>= 8.3)

  GNU R forecasting functions for time series and linear models

• sug: r-cran-fpc

  GNU R flexible procedures for clustering

• sug: r-cran-gbm

  GNU R package providing Generalized Boosted Regression Models

• sug: r-cran-ggpubr

  GNU R ggplot2 based publication ready plots

• sug: r-cran-glmnet

  Lasso and Elastic-Net Regularized Generalized Linear Models

• sug: r-cran-hmisc

  GNU R miscellaneous functions by Frank Harrell

• sug: r-cran-irace (>= 2.0)

  GNU R iterated racing for automatic algorithm configuration

• sug: r-cran-kernlab

  GNU R package for kernel-based machine learning lab

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-lintr (>= 1.0.0.9001)

  Linter for R Code

• sug: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• sug: r-cran-mda

  GNU R mixture and flexible discriminant analysis

• sug: r-cran-memoise

  Memoise functions

• sug: r-cran-modeltools

  GNU R package providing a collection of tools to deal with statistical models

• sug: r-cran-nnet

  GNU R package for feed-forward neural networks

• sug: r-cran-numderiv

  GNU R package for accurate numerical derivatives

• sug: r-cran-pander

  GNU R 'Pandoc' writer

• sug: r-cran-party

  GNU R laboratory for recursive partytioning

• sug: r-cran-pec

  GNU R Prediction Error Curves for risk prediction models in survival

• sug: r-cran-pls

  GNU R partial least squares and principal component regression

• sug: r-cran-randomforest

  GNU R package implementing the random forest classificator

• sug: r-cran-ranger (>= 0.8.0)

  Fast Implementation of Random Forests

• sug: r-cran-rappdirs

  GNU R application directories

• sug: r-cran-rex

  GNU R friendly regular expressions

• sug: r-cran-rgenoud

  R Version of GENetic Optimization Using Derivatives

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-rmpi

  GNU R package interfacing MPI libraries for distributed computing

• sug: r-cran-rocr

  GNU R package to prepare and display ROC curves

• sug: r-cran-rpart

  GNU R package for recursive partitioning and regression trees

• sug: r-cran-sf

  Simple Features for R

• sug: r-cran-svglite

  GNU R 'SVG' graphics device

• sug: r-cran-tgp

  GNU R Bayesian treed Gaussian process models

• sug: r-cran-th.data

  GNU R package for datasets by Torsten Hothorn

• sug: r-cran-tidyr

  GNU R package to easily tidy data

• sug: r-cran-vdiffr

  GNU R visual regression testing and graphical diffing

Hämta r-cran-mlr

Hämtningar för alla tillgängliga arkitekturer

Arkitektur	Paketstorlek	Installerad storlek	Filer
amd64	4.816,8 kbyte	5.925,0 kbyte	[filförteckning]
arm64	4.817,0 kbyte	5.977,0 kbyte	[filförteckning]
armel	4.816,6 kbyte	5.977,0 kbyte	[filförteckning]
armhf	4.815,0 kbyte	5.977,0 kbyte	[filförteckning]
i386	4.815,2 kbyte	5.925,0 kbyte	[filförteckning]
mips64el	4.817,1 kbyte	5.977,0 kbyte	[filförteckning]
mipsel	4.816,7 kbyte	5.977,0 kbyte	[filförteckning]
ppc64el	4.815,2 kbyte	5.977,0 kbyte	[filförteckning]
s390x	4.813,7 kbyte	5.917,0 kbyte	[filförteckning]