API for Displayr/flipMultivariates
Multivariate models

Global functions
DeepLearning Man page Source code
DiscriminantVariables Man page Source code
ExtractChartData Man page
ExtractChartData.DeepLearning Source code
ExtractChartData.GradientBoost Source code
ExtractChartData.LDA Source code
ExtractChartData.RandomForest Source code
ExtractChartData.SupportVectorMachine Source code
GradientBoost Man page
GradientBoosting Man page
LDA Man page
LDA.fit Man page Source code
LinearDiscriminantAnalysis Man page
MachineLearning Man page Source code
MachineLearningEnsemble Man page Source code
Probabilities.DeepLearning Man page Source code
Probabilities.GradientBoost Man page Source code
Probabilities.LDA Man page Source code
Probabilities.MachineLearningEnsemble Man page Source code
Probabilities.RandomForest Man page Source code
Probabilities.SupportVectorMachine Man page Source code
RandomForest Man page Source code
SupportVectorMachine Man page Source code
categorical.performance Source code
checkModelsComparable Source code
class.and.type Source code
correctPredictionsText Source code
extractCommonData Source code
getFunctionAndParameters Source code
has.numeric.outcome Source code
lda.functions Source code
ldaExtractVariables Source code
neuralNetwork Source code
numeric.outcome.metrics Source code
numeric.performance Source code
parametersEqual Source code
predict.DeepLearning Man page Source code
predict.GradientBoost Man page Source code
predict.LDA Man page Source code
predict.MachineLearningEnsemble Man page Source code
predict.RandomForest Man page Source code
predict.SupportVectorMachine Man page Source code
prepareMachineLearningData Source code
print.DeepLearning Source code
print.GradientBoost Source code
print.LDA Man page Source code
print.MachineLearningEnsemble Source code
print.RandomForest Source code
print.SupportVectorMachine Source code
randomForestExtractVariables Source code
reexports Man page
saveMachineLearningResults Source code
substituteArgumentNames Source code
Displayr/flipMultivariates documentation built on Sept. 11, 2018, 2:09 p.m.