RMOA: Connect R with MOA for Massive Online Analysis
Version 1.0

Connect R with MOA (Massive Online Analysis - http://moa.cms.waikato.ac.nz) to build classification models and regression models on streaming data or out-of-RAM data

AuthorJan Wijffels [aut, cre], BNOSAC [cph]
Date of publication2014-09-19 00:54:31
MaintainerJan Wijffels <jwijffels@bnosac.be>
LicenseGPL-3
Version1.0
URL http://www.bnosac.be https://github.com/jwijffels/RMOA http://moa.cms.waikato.ac.nz/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RMOA")

Popular man pages

datastream_dataframe: data streams on a data.frame
factorise: Convert character strings to factors in a dataset
MOAoptions: Get and set options for models build with MOA.
MOA_regressor: Create a MOA regressor
MOA_regressors: MOA regressors
predict.MOA_trainedmodel: Predict using a MOA classifier on a new dataset
trainMOA: Train a MOA classifier (e.g. a HoeffdingTree) on a datastream
See all...

All man pages Function index File listing

Man pages

datastream: Datastream objects and methods
datastream_dataframe: data streams on a data.frame
datastream_ffdf: data streams on an ffdf
datastream_file: File data stream
datastream_matrix: data streams on a matrix
factorise: Convert character strings to factors in a dataset
MOAattributes: Define the attributes of a dataset (factor levels, numeric or...
MOA_classification_activelearning: MOA active learning classification
MOA_classification_bayes: MOA bayesian classification
MOA_classification_ensemblelearning: MOA classification using ensembles
MOA_classification_trees: MOA classification trees
MOA_classifier: Create a MOA classifier
MOAoptions: Get and set options for models build with MOA.
MOA_regressor: Create a MOA regressor
MOA_regressors: MOA regressors
predict.MOA_trainedmodel: Predict using a MOA classifier on a new dataset
summary.MOA_classifier: Summary statistics of a MOA classifier
summary.MOA_regressor: Summary statistics of a MOA regressor
trainMOA: Train a MOA classifier (e.g. a HoeffdingTree) on a datastream

Functions

ADACC Man page Source code
AMRulesRegressor Man page Source code
ASHoeffdingTree Man page Source code
AccuracyUpdatedEnsemble Man page Source code
AccuracyWeightedEnsemble Man page Source code
ActiveClassifier Man page Source code
AdaHoeffdingOptionTree Man page Source code
DACC Man page Source code
DecisionStump Man page Source code
FIMTDD Man page Source code
HoeffdingAdaptiveTree Man page Source code
HoeffdingOptionTree Man page Source code
HoeffdingTree Man page Source code
LeveragingBag Man page Source code
LimAttClassifier Man page Source code
LimAttHoeffdingTree Man page Source code
MOA_classification_activelearning Man page
MOA_classification_bayes Man page
MOA_classification_ensemblelearning Man page
MOA_classification_trees Man page
MOA_classifier Man page Source code
MOA_regressor Man page Source code
MOA_regressors Man page
MOAattributes Man page Source code
MOAattributes.data.frame Source code
MOAoptions Man page Source code
NaiveBayes Man page Source code
NaiveBayesMultinomial Man page Source code
OCBoost Man page Source code
OnlineAccuracyUpdatedEnsemble Man page Source code
OzaBag Man page Source code
OzaBagASHT Man page Source code
OzaBagAdwin Man page Source code
OzaBoost Man page Source code
OzaBoostAdwin Man page Source code
RandomHoeffdingTree Man page Source code
TemporallyAugmentedClassifier Man page Source code
WeightedMajorityAlgorithm Man page Source code
as.java.util.List Source code
as.train Source code
attribute Source code
attribute.MOAmodelAttributes Source code
datastream Man page
datastream_csv Man page
datastream_csv2 Man page
datastream_dataframe Man page
datastream_delim Man page
datastream_delim2 Man page
datastream_ffdf Man page
datastream_file Man page
datastream_matrix Man page
datastream_table Man page
factorise Man page Source code
factorise.data.frame Source code
fields Source code
fields.MOA_classifier Source code
fields.MOA_regressor Source code
getMOAoptions Source code
modelclass Source code
predict.MOA_trainedmodel Man page Source code
print.MOA_classifier Source code
print.MOA_regressor Source code
print.MOAmodelOptions Source code
print.summary_MOA_classifier Source code
print.summary_MOA_regressor Source code
recoder Source code
setMOAoptions Source code
summary.MOA_classifier Man page Source code
summary.MOA_regressor Man page Source code
trainMOA Man page Source code

Files

inst
inst/TODO
inst/CITATION
inst/NEWS
inst/doc
inst/doc/packageShowCase.R
inst/doc/packageShowCase.pdf
inst/doc/packageShowCase.Rnw
NAMESPACE
R
R/knownmodels.R
R/utils.R
R/MOAmodeloptions.R
R/Regression.R
R/train.R
R/AllImports.R
R/MOAinstances.R
R/Datastreams.R
R/Classification.R
R/AAA.R
vignettes
vignettes/logo_bnosac.png
vignettes/packageShowCase.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/predict.MOA_trainedmodel.Rd
man/MOAattributes.Rd
man/MOA_regressor.Rd
man/MOAoptions.Rd
man/datastream_matrix.Rd
man/MOA_classification_activelearning.Rd
man/MOA_classification_trees.Rd
man/datastream_dataframe.Rd
man/trainMOA.Rd
man/MOA_regressors.Rd
man/datastream_file.Rd
man/summary.MOA_classifier.Rd
man/MOA_classification_ensemblelearning.Rd
man/summary.MOA_regressor.Rd
man/MOA_classification_bayes.Rd
man/factorise.Rd
man/MOA_classifier.Rd
man/datastream_ffdf.Rd
man/datastream.Rd
RMOA documentation built on May 19, 2017, 7:16 p.m.