gmum.r: GMUM Machine Learning Group Package
Version 0.2.1

Direct R interface to Support Vector Machine libraries ('LIBSVM' and 'SVMLight') and efficient C++ implementations of Growing Neural Gas and models developed by 'GMUM' group (Cross Entropy Clustering and 2eSVM).

AuthorWojciech Czarnecki, Stanislaw Jastrzebski, Marcin Data, Igor Sieradzki, Mateusz Bruno-Kaminski, Karol Jurek, Piotr Kowenzowski, Michal Pletty, Konrad Talik, Maciej Zgliczynski
Date of publication2015-10-04 23:41:44
MaintainerStanislaw Jastrzebski <staszek.jastrzebski@gmail.com>
LicenseMIT + file LICENSE
Version0.2.1
URL https://github.com/gmum/gmum.r
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gmum.r")

Popular man pages

caret.gmumSvmRadial: Caret model representation for SVM with radial kernel
gng.preset.cube: gng.preset.cube
plot.svm: Plot SVM object
predict.svm: Predict using SVM object
svm: Create SVM object
svm.accuracy: Measure accuracy scoreof a prediction
terminate-methods: terminate
See all...

All man pages Function index File listing

Man pages

calculateCentroids: calculateCentroids
caret.gmumSvmLinear: Caret model representation for SVM with linear kernel
caret.gmumSvmPoly: Caret model representation for SVM with linear kernel
caret.gmumSvmRadial: Caret model representation for SVM with radial kernel
CEC: Cross-Entropy Clustering
cec.ellipsegauss: cec.ellipsegauss
cec.ellipsegauss.extra: cec.ellipsegauss.extra
cec.mouse1.spherical: cec.mouse1.spherical
cec.mouse1.spherical.extra: cec.mouse1.spherical.extra
centers: centers
clustering-methods: clustering
convertToIGraph: convertToIGraph
covMatrix: covMatrix
energy: energy
errorStatistics: errorStatistics
findClosests: findClosests
getDataset: getDataset
get.wine.dataset.X: get.wine.dataset.X
get.wine.dataset.y: get.wine.dataset.y
gng: Constructor of GrowingNeuralGas object.
gngLoad: gngLoad
gng.plot.layout.v2d: Use first two spatial coordinates as position in layout
gng.preset.cube: gng.preset.cube
gng.preset.plane: gng.preset.plane
gng.preset.sphere: gng.preset.sphere
gngSave: gngSave
insertExamples: insertExamples
isRunning: isRunning
iterations: iterations
logClusters: logClusters
logEnergy: logEnergy
meanError: meanError
MultiClassSVM-class: Class MultiClassSVM
node-methods: node
numberNodes: numberNodes
optimized-gng: Constructor of Optimized GrowingNeuralGas object.
pause: pause
plot.cec: plot
plot.gng: plot GNG object
plot.svm: Plot SVM object
predict.cec: predict
predictComponent-methods: predictComponent
predict.gng: predict
predict.svm: Predict using SVM object
print.cec: print
print.gng: print
print.svm: Print SVM object
Rcpp_CecConfiguration-class: Class Rcpp_CecConfiguration.
Rcpp_CecModel-class: Class Rcpp_CecModel.
Rcpp_GNGServer-class: Class Rcpp_GNGServer.
Rcpp_SVMClient-class: Class Rcpp_SVMClient.
runAll: runAll
run-methods: run
runOneIteration: runOneIteration
summary.cec: summary
summary.gng: summary
summary.svm: Summary of SVM object
svm: Create SVM object
svm.accuracy: Measure accuracy scoreof a prediction
svm.breastcancer.dataset: svm.breastcancer.dataset
svm.transduction: svm.transduction
terminate-methods: terminate
Tset: Tset

Functions

CEC Man page Source code
GNG Man page Source code Source code
MultiClassSVM-class Man page
OptimizedGNG Man page Source code
Rcpp_CecConfiguration-class Man page
Rcpp_CecModel-class Man page
Rcpp_GNGServer-class Man page
Rcpp_SVMClient-class Man page
SVM Man page Source code
SVM.default Man page Source code
SVM.formula Man page Source code
Tset Man page
calculateCentroids Man page Source code
caret.gmumSvmLinear Man page
caret.gmumSvmPoly Man page
caret.gmumSvmRadial Man page
cec.ellipsegauss Man page
cec.ellipsegauss.extra Man page
cec.mouse1.spherical Man page
cec.mouse1.spherical.extra Man page
cec_energy Source code
centers Man page Source code
centers,Rcpp_CecModel-method Man page
cluster_energy Source code
clustering Man page Source code
clustering.Rcpp_CecModel Man page Source code
clustering.Rcpp_GNGServer Man page Source code
convertToIGraph Man page Source code
copy Source code
covMatrix Man page Source code
covMatrix,Rcpp_CecModel-method Man page
cov_mat Source code
cov_mat_trace Source code
createMultiClassSVM Source code
diagonal_entropy Source code
energy Man page Source code
energy,Rcpp_CecModel-method Man page
errorStatistics Man page Source code
findClosests Man page Source code
gaussGenerator Source code Source code Source code
get.all.results Source code Source code
get.results Source code Source code
get.wine.dataset.X Man page Source code
get.wine.dataset.y Man page Source code
getDataset Man page Source code
getDataset,Rcpp_CecModel-method Man page
gmum.error Source code
gng.plot.layout.v2d Man page Source code
gng.plot2d Source code
gng.plot2d.errors Source code
gng.preset.cube Man page Source code
gng.preset.plane Man page Source code
gng.preset.sphere Man page Source code
gng.preset_potential Source code
gng.type.default Source code
gng.type.optimized Source code
gng.type.utility Source code
gngLoad Man page Source code
gngSave Man page Source code
grid Source code Source code
insertExamples Man page Source code
isParameterOn Source code
isRunning Man page Source code
iterations Man page Source code
iterations,Rcpp_CecModel-method Man page
logClusters Man page
logClusters,Rcpp_CecModel-method Man page
logEnergy Man page Source code
logEnergy,Rcpp_CecModel-method Man page
logNumberOfClusters Source code
meanError Man page Source code
mouseGaussGenerator Source code Source code Source code
multiplot Source code
node Man page Source code
node.Rcpp_GNGServer Source code
numberNodes Man page Source code
or Source code
pause Man page Source code
pause.Rcpp_GNGServer Source code
plane.point Source code
plot.MultiClassSVM Source code
plot.Rcpp_CecModel Man page Source code
plot.Rcpp_GNGServer Man page Source code
plot.Rcpp_SVMClient Man page Source code
predict Man page
predict,Rcpp_CecModel-method Man page
predict.MultiClassSVM Source code
predict.Rcpp_CecModel Man page Source code
predict.Rcpp_GNGServer Man page Source code
predict.Rcpp_SVMClient Man page Source code
predict.gng Man page
predictComponent Man page Source code
print.MultiClassSVM Source code
print.Rcpp_CecModel Man page Source code
print.Rcpp_GNGServer Man page Source code
print.Rcpp_SVMClient Man page Source code
read.libsvm Source code
read.matrix.csr Source code
run Man page Source code
run.Rcpp_GNGServer Source code
runAll Man page Source code
runAll,Rcpp_CecModel-method Man page
runOneIteration Man page Source code
runOneIteration,Rcpp_CecModel-method Man page
scale.data.frame Source code
show.MultiClassSVM Source code
show.Rcpp_CecModel Source code Source code
show.Rcpp_GNGServer Source code
show.Rcpp_SVMClient Source code
sigmoid Source code
sphere.point Source code
sphere_entropy Source code
standard_entropy Source code
summary.MultiClassSVM Source code
summary.Rcpp_CecModel Man page Source code
summary.Rcpp_GNGServer Man page Source code
summary.Rcpp_SVMClient Man page Source code
svm.accuracy Man page Source code
svm.breastcancer.dataset Man page
svm.dataset.circles Source code
svm.dataset.colon_cancer Source code
svm.transduction Man page
terminate Man page Source code
terminate.Rcpp_GNGServer Source code
visualizeIGraph2d Source code
visualizeIGraph2dWithErrors Source code

Files

inst
inst/dev
inst/dev/datasets
inst/dev/datasets/cec
inst/dev/datasets/cec/cec_txt_to_RData.R
inst/dev/datasets/svm
inst/dev/datasets/svm/convert_to_RData.R
inst/include
inst/include/cec
inst/include/cec/kmeanspp_assignment.hpp
inst/include/cec/cluster.hpp
inst/include/cec/params.hpp
inst/include/cec/const.hpp
inst/include/cec/hartigan.hpp
inst/include/cec/cec_configuration.hpp
inst/include/cec/cec.hpp
inst/include/cec/algorithm.hpp
inst/include/cec/cluster_custom_function.hpp
inst/include/cec/cluster_params.hpp
inst/include/cec/assignment.hpp
inst/include/cec/exceptions.hpp
inst/include/cec/random_assignment.hpp
inst/include/cec/centroids_assignment.hpp
inst/include/svmlight
inst/include/svmlight/Makefile
inst/include/svmlight/svm_learn_main.c
inst/include/svmlight/svm_learn.h
inst/include/svmlight/LICENSE.txt
inst/include/svmlight/svm_classify.c
inst/include/svmlight/svm_common.h
inst/include/svmlight/kernel.h
inst/include/svmlight/svm_loqo.c
inst/include/svm
inst/include/svm/two_e_svm_post.h
inst/include/svm/svm_client.h
inst/include/svm/svm.h
inst/include/svm/svmlight_runner.h
inst/include/svm/svm_handler.h
inst/include/svm/two_e_svm_pre.h
inst/include/svm/libsvm_runner.h
inst/include/svm/svm_basic.h
inst/include/svm/svm_utils.h
inst/include/gng
inst/include/gng/gng_lazy_error_heap.h
inst/include/gng/gng_defines.h
inst/include/gng/gng_configuration.h
inst/include/gng/gng_server.h
inst/include/gng/gng_graph.hpp
inst/include/gng/heap.h
inst/include/gng/uniform_grid.hpp
inst/include/gng/gng_graph.h
inst/include/gng/gng.h
inst/include/gng/gng_node.h
inst/include/gng/gng_dataset.h
inst/include/gng/uniform_grid.h
inst/include/gng/globals.h
inst/include/gng/gng_algorithm.h
inst/include/utils
inst/include/utils/cutils.h
inst/include/utils/circular_buffer.h
inst/include/utils/utils.h
inst/include/utils/tinythread.h
inst/include/utils/threading.h
inst/include/utils/logger.h
inst/include/utils/fast_mutex.h
src
src/Makevars
src/cec
src/cec/assignment.cpp
src/cec/cec.cpp
src/cec/cec_configuration.cpp
src/cec/cluster_custom_function.cpp
src/cec/hartigan.cpp
src/cec/centroids_assignment.cpp
src/cec/random_assignment.cpp
src/cec/cluster.cpp
src/cec/kmeanspp_assignment.cpp
src/cec/cec_module.cpp
src/svmlight
src/svmlight/svm_hideo.c
src/svmlight/svm_common.c
src/svmlight/svm_learn.c
src/svm
src/svm/svm_basic.cpp
src/svm/two_e_svm_post.cpp
src/svm/libsvm_runner.cpp
src/svm/svm_utils.cpp
src/svm/svmlight_runner.cpp
src/svm/validator_runner.cpp
src/svm/svm_client.cpp
src/svm/two_e_svm_pre.cpp
src/svm/svm.cpp
src/svm/svm_wrapper_module.cpp
src/gng
src/gng/gng_configuration.cpp
src/gng/gng_algorithm.cpp
src/gng/gng_module.cpp
src/gng/gng_server.cpp
src/Makevars.win
src/root.cpp
src/utils
src/utils/tinythread.cpp
src/utils/utils.cpp
src/utils/threading.cpp
NAMESPACE
demo
demo/svm-demo.R
demo/extra
demo/extra/mnist.R
demo/extra/tfml_demo.R
demo/cec.R
demo/00Index
data
data/cec.mouse1.spherical.RData
data/cec.ellipsegauss.RData
data/svm.transduction.RData
data/cec.tset.RData
data/svm_breast_cancer_dataset.RData
R
R/gmum.errors.R
R/gmum.R
R/gng.R
R/cec.summary.R
R/cec.R
R/cec.print.R
R/svm.utils.R
R/R_scripts
R/R_scripts/bigDataGenerator.R
R/R_scripts/comparative.tests.R
R/R_scripts/mouseUniformGenerator.R
R/R_scripts/wine_dataset.R
R/R_scripts/mouseUniformGeneratorNew.R
R/R_scripts/energy.R
R/R_scripts/comparative.tests.2e.R
R/R_scripts/mouseGaussGenerator.R
R/R_scripts/test_cec_energy_func.R
R/R_scripts/gaussGenerator.R
R/R_scripts/3DDataGenerator.R
R/cec.plot.R
R/svm.R
R/misc.R
R/gng.visualize.R
R/gng.presets.R
R/gng.utils.R
MD5
DESCRIPTION
man
man/runOneIteration.Rd
man/Rcpp_CecConfiguration-class.Rd
man/terminate-methods.Rd
man/print.svm.Rd
man/optimized-gng.Rd
man/logEnergy.Rd
man/iterations.Rd
man/energy.Rd
man/gng.plot.layout.v2d.Rd
man/summary.cec.Rd
man/cec.ellipsegauss.Rd
man/predictComponent-methods.Rd
man/findClosests.Rd
man/isRunning.Rd
man/svm.accuracy.Rd
man/numberNodes.Rd
man/errorStatistics.Rd
man/Tset.Rd
man/gngLoad.Rd
man/predict.cec.Rd
man/gng.preset.cube.Rd
man/print.cec.Rd
man/caret.gmumSvmRadial.Rd
man/run-methods.Rd
man/pause.Rd
man/runAll.Rd
man/getDataset.Rd
man/get.wine.dataset.X.Rd
man/get.wine.dataset.y.Rd
man/gng.preset.plane.Rd
man/covMatrix.Rd
man/svm.breastcancer.dataset.Rd
man/cec.ellipsegauss.extra.Rd
man/plot.svm.Rd
man/CEC.Rd
man/meanError.Rd
man/predict.gng.Rd
man/summary.svm.Rd
man/caret.gmumSvmPoly.Rd
man/centers.Rd
man/Rcpp_GNGServer-class.Rd
man/summary.gng.Rd
man/gng.Rd
man/node-methods.Rd
man/plot.gng.Rd
man/Rcpp_SVMClient-class.Rd
man/convertToIGraph.Rd
man/insertExamples.Rd
man/logClusters.Rd
man/clustering-methods.Rd
man/cec.mouse1.spherical.extra.Rd
man/calculateCentroids.Rd
man/svm.Rd
man/gngSave.Rd
man/cec.mouse1.spherical.Rd
man/gng.preset.sphere.Rd
man/predict.svm.Rd
man/svm.transduction.Rd
man/plot.cec.Rd
man/print.gng.Rd
man/MultiClassSVM-class.Rd
man/Rcpp_CecModel-class.Rd
man/caret.gmumSvmLinear.Rd
LICENSE
gmum.r documentation built on May 19, 2017, 1:40 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.