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 |