Microsoft Machine Learning for R

Documentation for package ‘MicrosoftML’ version 9.4.7

Help Pages

MicrosoftML-package	MicrosoftML: State-of-the-Art Machine Learning Algorithms from Microsoft Corporation
adaDeltaSgd	Optimization Algorithms
categorical	Machine Learning Categorical Data Transform
categoricalHash	Machine Learning Categorical HashData Transform
coef.mlModel	Summary of a Microsoft R Machine Learning model.
concat	Machine Learning Concat Transform
dropColumns	Drops columns from the dataset
ensembleControl	ensembleControl
expLoss	Classification and Regression Loss functions
extractPixels	Machine Learning Extract Pixel Data Transform
fastForest	fastForest
fastLinear	fastLinear
fastTrees	fastTrees
featurizeImage	Machine Learning Image Featurization Transform
featurizeText	Machine Learning Text Transform
getNetDefinition	Get the Net# definition from a trained neural network model
getSampleDataDir	Get Package Sample Data Location
getSentiment	Machine Learning Sentiment Analyzer Transform
hingeLoss	Classification and Regression Loss functions
kernel	Kernel
linearKernel	Kernel
loadImage	Machine Learning Load Image Transform
logisticRegression	logisticRegression
logLoss	Classification and Regression Loss functions
loss functions	Classification and Regression Loss functions
maKernel	Kernel
maOptimizer	Optimization Algorithms
minCount	Feature Selection Count Mode
mutualInformation	Feature Selection Mutual Information Mode
neuralNet	neuralNet
ngram	Machine Learning Feature Extractors
ngramCount	Machine Learning Feature Extractors
ngramHash	Machine Learning Feature Extractors
oneClassSvm	oneClassSvm
poissonLoss	Classification and Regression Loss functions
polynomialKernel	Kernel
rbfKernel	Kernel
resizeImage	Machine Learning Resize Image Transform
rxEnsemble	Ensembles
rxFastForest	Fast Forest
rxFastLinear	Fast Linear Model - Stochastic Dual Coordinate Ascent
rxFastTrees	Fast Tree
rxFeaturize	Data Transformation for RevoScaleR data sources
rxLogisticRegression	Logistic Regression
rxNeuralNet	Neural Net
rxOneClassSvm	OneClass SVM
rxPredict.mlModel	Score using a Microsoft R Machine Learning model
selectColumns	Selects a set of columns, dropping all others
selectFeatures	Machine Learning Feature Selection Transform
sgd	Optimization Algorithms
sigmoidKernel	Kernel
smoothHingeLoss	Classification and Regression Loss functions
squaredLoss	Classification and Regression Loss functions
stopwordsCustom	Machine Learning Text Transform
stopwordsDefault	Machine Learning Text Transform
summary.mlModel	Summary of a Microsoft R Machine Learning model.
termDictionary	Machine Learning Text Transform