prdataset | Define dataset from datamatrix and labels | more routines |
datasets | List information on datasets (just help, no command) | |
classnames | Retrieve names of classes from a dataset | |
classsizes | Retrieve sizes of classes in a dataset | |
setfeatlab | Define feature labels for a dataset | |
getfeatlab | Retrieve feature labels from a dataset | |
setdata | Define or replace the data in dataset | |
getdata | Retrieve data from a dataset | |
setlabels | Set labels of objects in a dataset | |
getlabels | Retrieve labels of objects in a dataset | |
setprior | Set class prior probabilities of dataset | |
getprior | Retrieve class prior probabilities from dataset | |
misval | Fix missing values in a dataset | |
selclass | Retrieve some classes from a dataset |
elements: datasets datafiles cells and doubles mappings classifiers mapping types.
operations:datasets datafiles cells and doubles mappings classifiers stacked parallel sequential dyadic.
user commands:datasets representation classifiers evaluation clustering examples support routines.
introductory examples:IntroductionScatterplotsDatasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reductionCombining classifiers Dissimilarities.
advanced examples.