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 Source code |
| LDA | Man page |
| LDA.fit | Man page |
| LinearDiscriminantAnalysis | Man page Source code |
| MachineLearning | Man page Source code |
| MachineLearningEnsemble | Man page Source code |
| MachineLearningMulti | Man page Source code |
| Probabilities | Man page |
| Probabilities.DeepLearning | Source code |
| Probabilities.GradientBoost | Source code |
| Probabilities.LDA | Source code |
| Probabilities.MachineLearningEnsemble | Source code |
| Probabilities.RandomForest | Source code |
| Probabilities.SupportVectorMachine | Source code |
| PropensityWeights | Man page Source code |
| RandomForest | Man page Source code |
| SupportVectorMachine | Man page Source code |
| calcAccuracy | Source code |
| categoricalPerformance | Source code |
| checkModelsComparable | Source code |
| classAndType | Source code |
| correctPredictionsText | Source code |
| ensemblePredictionsAndProbabilities | Source code |
| extractCommonData | Source code |
| formatAccuracy | Source code |
| getFunctionAndParameters | Source code |
| hasNumericOutcome | Source code |
| lda.functions | Source code |
| ldaExtractVariables | Source code |
| neuralNetwork | Source code |
| numericOutcomeMetrics | Source code |
| numericPerformance | Source code |
| padMetrics | 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 |
| prepareDLChartData | Source code |
| prepareEnsembleChartData | Source code |
| prepareGBChartData | Source code |
| prepareLDAChartData | Source code |
| prepareMachineLearningData | Source code |
| prepareRFChartData | Source code |
| prepareSVMChartData | Source code |
| print.DeepLearning | Source code |
| print.GradientBoost | Source code |
| print.LDA | Man page Source code |
| print.MachineLearningComparison | Source code |
| print.MachineLearningEnsemble | Source code |
| print.RandomForest | Source code |
| print.SupportVectorMachine | Source code |
| randomForestExtractVariables | Source code |
| reexports | Man page |
| requireCategoricalOutcome | Source code |
| saveMachineLearningResults | Source code |
| substituteArgumentNames | Source code |
| throwErrorInvalidPrior | Source code |
