Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.2 new NMAE metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models/algorithms, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics (improved mmetric function); 1.2 - new input importance methods (improved Importance function); 1.0 - first version.

Author | Paulo Cortez [aut, cre] |

Date of publication | 2016-09-02 22:48:18 |

Maintainer | Paulo Cortez <pcortez@dsi.uminho.pt> |

License | GPL-2 |

Version | 1.4.2 |

http://cran.r-project.org/package=rminer http://www3.dsi.uminho.pt/pcortez/rminer.html |

**CasesSeries:** Create a training set (data.frame) from a time series using a...

**crossvaldata:** Computes k-fold cross validation for rminer models.

**delevels:** Reduce (delete) or replace levels from a factor variable...

**fit:** Fit a supervised data mining model (classification or...

**holdout:** Computes indexes for holdout data split into training and...

**Importance:** Measure input importance (including sensitivity analysis)...

**imputation:** Missing data imputation (e.g. substitution by value or...

**lforecast:** Compute long term forecasts.

**mgraph:** Mining graph function

**mining:** Powerful function that trains and tests a particular fit...

**mmetric:** Compute classification or regression error metrics.

**mparheuristic:** Function that returns a list of searching (hyper)parameters...

**predict-methods:** predict method for fit objects (rminer)

**rminer-internal:** Internal rminer Functions

**sa_fri1:** Synthetic regression and classification datasets for...

**savemining:** Load/save into a file the result of a fit (model) or mining...

**sin1reg:** sin1 regression dataset

**vecplot:** VEC plot function (to use in conjunction with Importance...

rminer

rminer/NAMESPACE

rminer/data

rminer/data/sa_ssin_n2p.rda

rminer/data/sa_psin.rda

rminer/data/sa_ssin.rda

rminer/data/sa_fri1.rda

rminer/data/sa_int2_8p.rda

rminer/data/sin1reg.rda

rminer/data/sa_ssin_2.rda

rminer/data/sa_tree.rda

rminer/data/sa_int2_3c.rda

rminer/data/sa_int2.rda

rminer/R

rminer/R/model.R
rminer/R/preprocess.R
rminer/R/metrics.R
rminer/R/plots.R
rminer/R/estimate.R
rminer/MD5

rminer/DESCRIPTION

rminer/man

rminer/man/fit.Rd
rminer/man/vecplot.Rd
rminer/man/mmetric.Rd
rminer/man/mgraph.Rd
rminer/man/sin1reg.Rd
rminer/man/delevels.Rd
rminer/man/lforecast.Rd
rminer/man/crossvaldata.Rd
rminer/man/sa_fri1.Rd
rminer/man/mparheuristic.Rd
rminer/man/savemining.Rd
rminer/man/Importance.Rd
rminer/man/rminer-internal.Rd
rminer/man/CasesSeries.Rd
rminer/man/holdout.Rd
rminer/man/predict-methods.Rd
rminer/man/mining.Rd
rminer/man/imputation.Rd
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