CasesSeries             Create a training set (data.frame) from a time
                        series using a sliding window.
Importance              Measure input importance (including sensitivity
                        analysis) given a supervised data mining model.
crossvaldata            Computes k-fold cross validation for rminer
                        models.
delevels                Reduce, replace or transform levels of a
                        data.frame or factor variable (useful for
                        preprocessing datasets).
fit                     Fit a supervised data mining model
                        (classification or regression) model
holdout                 Computes indexes for holdout data split into
                        training and test sets.
imputation              Missing data imputation (e.g. substitution by
                        value or hotdeck method).
lforecast               Compute long term forecasts.
mgraph                  Mining graph function
mining                  Powerful function that trains and tests a
                        particular fit model under several runs and a
                        given validation method
mmetric                 Compute classification or regression error
                        metrics.
mparheuristic           Function that returns a list of searching
                        (hyper)parameters for a particular model
                        (classification or regression) or for a
                        multiple list of models (automl or ensembles).
predict.fit             predict method for fit objects (rminer)
sa_fri1                 Synthetic regression and classification
                        datasets for measuring input importance of
                        supervised learning models
savemining              Load/save into a file the result of a fit
                        (model) or mining functions.
sin1reg                 sin1 regression dataset
vecplot                 VEC plot function (to use in conjunction with
                        Importance function).
