Man pages for rminer
Data Mining Classification and Regression Methods

CasesSeriesCreate a training set (data.frame) from a time series using a...
crossvaldataComputes k-fold cross validation for rminer models.
delevelsReduce (delete) or replace levels from a factor variable...
fitFit a supervised data mining model (classification or...
holdoutComputes indexes for holdout data split into training and...
ImportanceMeasure input importance (including sensitivity analysis)...
imputationMissing data imputation (e.g. substitution by value or...
lforecastCompute long term forecasts.
mgraphMining graph function
miningPowerful function that trains and tests a particular fit...
mmetricCompute classification or regression error metrics.
mparheuristicFunction that returns a list of searching (hyper)parameters...
predict-methodspredict method for fit objects (rminer)
rminer-internalInternal rminer Functions
sa_fri1Synthetic regression and classification datasets for...
saveminingLoad/save into a file the result of a fit (model) or mining...
sin1regsin1 regression dataset
vecplotVEC plot function (to use in conjunction with Importance...
rminer documentation built on May 1, 2019, 7:48 p.m.