Package: RMOA 1.1.0

Jan Wijffels

RMOA: Connect R with MOA for Massive Online Analysis

Connect R with MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>) to build classification models and regression models on streaming data or out-of-RAM data. Also streaming recommendation models are made available.

Authors:Jan Wijffels [aut, cre], BNOSAC [cph]

RMOA_1.1.0.tar.gz
RMOA_1.1.0.tar.gz(r-4.5-noble)RMOA_1.1.0.tar.gz(r-4.4-noble)
RMOA_1.1.0.tgz(r-4.4-emscripten)RMOA_1.1.0.tgz(r-4.3-emscripten)
RMOA.pdf |RMOA.html✨
RMOA/json (API)
NEWS

# Install 'RMOA' in R:

install.packages('RMOA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jwijffels/rmoa/issues

Uses libs:

openjdk– OpenJDK Java runtime, using Hotspot JIT

2.53 score 1 stars 34 scripts 166 downloads 51 exports 2 dependencies

Last updated 2 years agofrom:c92e804194. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 16 2024
R-4.5-linux	OK	Oct 16 2024

Exports:AccuracyUpdatedEnsemble AccuracyWeightedEnsemble ActiveClassifier ADACC AdaHoeffdingOptionTree AMRulesRegressor ASHoeffdingTree BaselinePredictor BRISMFPredictor DACC datastream datastream_csv datastream_csv2 datastream_dataframe datastream_delim datastream_delim2 datastream_ffdf datastream_file datastream_matrix datastream_table DecisionStump factorise FadingTargetMean FIMTDD HoeffdingAdaptiveTree HoeffdingOptionTree HoeffdingTree LeveragingBag LimAttClassifier LimAttHoeffdingTree MOA_classifier MOA_recommender MOA_regressor MOAattributes MOAoptions NaiveBayes NaiveBayesMultinomial OCBoost OnlineAccuracyUpdatedEnsemble ORTO OzaBag OzaBagAdwin OzaBagASHT OzaBoost OzaBoostAdwin Perceptron RandomHoeffdingTree TargetMean TemporallyAugmentedClassifier trainMOA WeightedMajorityAlgorithm

Dependencies:rJava RMOAjars

R interface to MOA for data stream mining

Rendered frompackageShowCase.Rnwusingutils::Sweaveon Oct 16 2024.

Last update: 2018-09-22
Started: 2014-09-18

Citation

Readme and manuals

Help Manual

Help page	Topics
Datastream objects and methods	datastream
data streams on a data.frame	datastream_dataframe
data streams on an ffdf	datastream_ffdf
File data stream	datastream_csv datastream_csv2 datastream_delim datastream_delim2 datastream_file datastream_table
data streams on a matrix	datastream_matrix
Convert character strings to factors in a dataset	factorise
MOA active learning classification	ActiveClassifier MOA_classification_activelearning
MOA bayesian classification	MOA_classification_bayes NaiveBayes NaiveBayesMultinomial
MOA classification using ensembles	AccuracyUpdatedEnsemble AccuracyWeightedEnsemble ADACC DACC LeveragingBag LimAttClassifier MOA_classification_ensemblelearning OCBoost OnlineAccuracyUpdatedEnsemble OzaBag OzaBagAdwin OzaBagASHT OzaBoost OzaBoostAdwin TemporallyAugmentedClassifier WeightedMajorityAlgorithm
MOA classification trees	AdaHoeffdingOptionTree ASHoeffdingTree DecisionStump HoeffdingAdaptiveTree HoeffdingOptionTree HoeffdingTree LimAttHoeffdingTree MOA_classification_trees RandomHoeffdingTree
Create a MOA classifier	MOA_classifier
MOA recommendation engines	BaselinePredictor BRISMFPredictor MOA_recommendation_engines
Create a MOA recommendation engine	MOA_recommender
Create a MOA regressor	MOA_regressor
MOA regressors	AMRulesRegressor FadingTargetMean FIMTDD MOA_regressors ORTO Perceptron TargetMean
Define the attributes of a dataset (factor levels, numeric or string data) in a MOA setting	MOAattributes
Get and set options for models build with MOA.	MOAoptions
Predict using a MOA classifier, MOA regressor or MOA recommender on a new dataset	predict.MOA_trainedmodel
Summary statistics of a MOA classifier	summary.MOA_classifier
Summary statistics of a MOA recommender	summary.MOA_recommender
Summary statistics of a MOA regressor	summary.MOA_regressor
Train a MOA classifier/regressor/recommendation engine on a datastream	trainMOA
Train a MOA classifier (e.g. a HoeffdingTree) on a datastream	trainMOA.MOA_classifier
Train a MOA recommender (e.g. a BRISMFPredictor) on a datastream	trainMOA.MOA_recommender
Train a MOA regressor (e.g. a FIMTDD) on a datastream	trainMOA.MOA_regressor