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