Man pages for luannnguyen/mltoolkit
Various tools for training machine learning classifiers
| calcAUC | Calculate AUC |
| calcPerf | Calculate classifier performance metrics |
| calcPerfCompound | Calculate compound performance metrics (e.g. roc) |
| calcPerfMC | Calculate classifier performance metrics (multi-class) |
| calcTfpn | Calculate true/false positive/negative counts |
| confusionMatrix | Create confusion matrix(-ces) |
| confusionMatrixMC | Create confusion matrix(-ces) multi-class |
| createCvTrainTestSets | Create train and test sets for k-fold cross validation |
| oneHotEncode | Converts a vector to a matrix of labels |
| plotFeatureImportance | Plot feature importance |
| plotPerf | Line plot of classification statistics |
| plotPerfCompound | Plot compound performance metrics |
| plotSortedPredictedProbs | Plot sorted prediction probabilities |
| splitDataIntoKfolds | Split data into k-fold train and test sets |
| standardizeFeature | Feature standardization |
| toBinaryResponse | Convert multiclass response to binary response |
| toBinaryResponseMC | Convert multiclass response to all combinations of binary... |
| transformFeatures | Transform feature columns |
