Man pages for MLInterfaces
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
| balKfold.xvspec | generate a partition function for cross-validation, where the... |
| classifierOutput-class | Class "classifierOutput" |
| clusteringOutput-class | container for clustering outputs in uniform structure |
| confuMat-methods | Compute the confusion matrix for a classifier. |
| confuTab | Compute confusion tables for a confusion matrix. |
| fs.absT | support for feature selection in cross-validation |
| fsHistory | extract history of feature selection for a cross-validated... |
| hclustWidget | shiny-oriented GUI for cluster or classifier exploration |
| learnerSchema-class | Class "learnerSchema" - convey information on a machine... |
| MLearn-new | revised MLearn interface for machine learning |
| MLIntInternals | MLInterfaces infrastructure |
| performance-analytics | Assessing classifier performance |
| planarPlot-methods | Methods for Function planarPlot in Package 'MLInterfaces' |
| plspinHcube | shiny app for interactive 3D visualization of mlbench... |
| predict.classifierOutput | Predict method for 'classifierOutput' objects |
| projectedLearner-class | Class '"projectedLearner"' |
| projectLearnerToGrid | create learned tesselation of feature space after PC... |
| RAB | real adaboost (Friedman et al) |
| raboostCont-class | Class "raboostCont" ~~~ |
| varImpStruct-class | Class "varImpStruct" - collect data on variable importance... |
| xvalLoop | Cross-validation in clustered computing environments |
| xvalSpec | container for information specifying a cross-validated... |
