Microsoft Machine Learning for R


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Documentation for package ‘MicrosoftML’ version 9.3.0

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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