rminer: Data Mining Classification and Regression Methods

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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
URLs

View on CRAN

Man pages

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...

Files in this package

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