gmum.r: GMUM Machine Learning Group Package

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).

Install the latest version of this package by entering the following in R:
install.packages("gmum.r")
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
https://github.com/gmum/gmum.r

View on CRAN

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

calculateCentroids Man page
caret.gmumSvmLinear Man page
caret.gmumSvmPoly Man page
caret.gmumSvmRadial Man page
CEC Man page
cec.ellipsegauss Man page
cec.ellipsegauss.extra Man page
cec.mouse1.spherical Man page
cec.mouse1.spherical.extra Man page
centers Man page
centers,Rcpp_CecModel-method Man page
clustering Man page
clustering.Rcpp_CecModel Man page
clustering.Rcpp_GNGServer Man page
convertToIGraph Man page
covMatrix Man page
covMatrix,Rcpp_CecModel-method Man page
energy Man page
energy,Rcpp_CecModel-method Man page
errorStatistics Man page
findClosests Man page
getDataset Man page
getDataset,Rcpp_CecModel-method Man page
get.wine.dataset.X Man page
get.wine.dataset.y Man page
GNG Man page
gngLoad Man page
gng.plot.layout.v2d Man page
gng.preset.cube Man page
gng.preset.plane Man page
gng.preset.sphere Man page
gngSave Man page
insertExamples Man page
isRunning Man page
iterations Man page
iterations,Rcpp_CecModel-method Man page
logClusters Man page
logClusters,Rcpp_CecModel-method Man page
logEnergy Man page
logEnergy,Rcpp_CecModel-method Man page
meanError Man page
MultiClassSVM-class Man page
node Man page
numberNodes Man page
OptimizedGNG Man page
pause Man page
plot.Rcpp_CecModel Man page
plot.Rcpp_GNGServer Man page
plot.Rcpp_SVMClient Man page
predict Man page
predictComponent Man page
predict.gng Man page
predict.Rcpp_CecModel Man page
predict,Rcpp_CecModel-method Man page
predict.Rcpp_GNGServer Man page
predict.Rcpp_SVMClient Man page
print.Rcpp_CecModel Man page
print.Rcpp_GNGServer Man page
print.Rcpp_SVMClient Man page
Rcpp_CecConfiguration-class Man page
Rcpp_CecModel-class Man page
Rcpp_GNGServer-class Man page
Rcpp_SVMClient-class Man page
run Man page
runAll Man page
runAll,Rcpp_CecModel-method Man page
runOneIteration Man page
runOneIteration,Rcpp_CecModel-method Man page
summary.Rcpp_CecModel Man page
summary.Rcpp_GNGServer Man page
summary.Rcpp_SVMClient Man page
SVM Man page
svm.accuracy Man page
svm.breastcancer.dataset Man page
SVM.default Man page
SVM.formula Man page
svm.transduction Man page
terminate Man page
Tset Man page

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

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

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