API for rminer
Data Mining Classification and Regression Methods

Global functions
AAD_responses Man page Source code
CasesSeries Man page Source code
Conf Man page Source code
INTERPOLATE Man page Source code
Importance Man page Source code
LIFTcurve Man page Source code
MCrandom Man page Source code
RECcurve Man page Source code
ROCcurve Man page Source code
TPR_FOR_FPR Man page Source code
addSearch Man page Source code
addfactor Man page Source code
agg_matrix_imp Man page Source code
aggregate_imp Man page Source code
attcorrelated Man page
avg_imp Man page Source code
avg_imp_1D Man page Source code
balanced_responses Man page Source code
bestfit Man page
bssearch Man page Source code
centralaux Man page Source code
centralpar Man page Source code
cleansearch Source code
cmatrixplot Man page
conflevel Man page Source code
copy_list Source code
crossfolds Man page Source code
crossvaldata Man page Source code
curvearea Man page Source code
datalevels Man page Source code
defaultask Man page Source code
defaultfeature Man page Source code
defaultmodel Man page Source code
defaultmpar Man page
defaultsearch Man page
delevels Man page Source code
dforder Man page
dlplot Man page Source code
enlarge Man page
factor2numeric Man page Source code
factorize Man page Source code
factorsample Man page Source code
feature_needed Man page Source code
fenlarge Man page
filter_equal Man page Source code
firstfit_needed Source code
fit Man page Source code
forplot Man page
get_rand_state Source code
getmethod Source code
getmetric Man page Source code
gradient_responses Man page Source code
gsigma Source code
holdout Man page Source code
hotdeck Man page Source code
i_indiv Source code
imputation Man page Source code
impvalue Man page Source code
invtransform Man page Source code
is.mmetric Man page Source code
is_ensemble Source code
isbest Man page Source code
knn.fit Man page
lforecast Man page Source code
loadmining Man page Source code
loadmodel Man page Source code
majorClass Man page Source code
max_metric Source code
mean_resp Man page Source code
meanint Man page Source code
medianfirst Man page Source code
metrics Man page Source code
mgraph Man page Source code
mgrid Man page Source code
mhistogram Man page Source code
middleclass Man page Source code
midrangesearch Man page Source code
mids Man page Source code
min_metric Source code
mining Man page Source code
missingatts Man page Source code
mlp.fit Man page Source code
mmetric Man page Source code
model-class Man page
modelargs Man page Source code
modelplot Man page
mostcommon Man page Source code
mparheuristic Man page Source code
mpause Man page Source code
mtrim Source code
nvmode Source code
one_of_c Man page Source code
output_index Man page Source code
partialcurve Man page Source code
pathlength_responses Man page Source code
plotH Man page Source code
predict,model-method Man page
predict-methods Man page
predict.fit Man page
range_responses Man page Source code
ranges Man page Source code
readmethod Man page Source code
readmpar Source code
readsearch Man page Source code
resp_to_list Man page Source code
rmboxplot Man page
rmsample Man page Source code
rmtable Man page Source code
s_measure Man page Source code
sa_fri1 Man page
sa_int2 Man page
sa_int2_3c Man page
sa_int2_8p Man page
sa_psin Man page
sa_ssin Man page
sa_ssin_2 Man page
sa_ssin_n2p Man page
sa_tree Man page
savemining Man page Source code
savemodel Man page Source code
scaleinputs Man page Source code
scaleinputs2 Man page Source code
set_rand_state Source code
sin1reg Man page
ssigma Source code
stackedata Source code
svm.fit Man page Source code
tolerance Source code
transform_needed Man page Source code
trap_area Man page Source code
tsacf Man page
tsplot Man page
twoclassLift Man page Source code
twoclassROC Man page Source code
uniform_design Man page Source code
variance_responses Man page Source code
vaveraging Man page Source code
vecplot Man page
worst Man page Source code
xmiddle_point Man page Source code
xtransform Man page Source code
yaggregate Man page Source code
rminer documentation built on Aug. 28, 2020, 5:08 p.m.