API for rivolli/mfe
Meta-Feature Extractor

Global functions
accuracy Source code
attribute.entropy Source code
attributes.concentration Source code
average.leaf.corrobation Source code
balanced.accuracy Source code
binarize Source code
branch.length Source code
cancor Source code
cancor.fract Source code
categorize Source code
center.of.gravity Source code
class.concentration Source code
class.entropy Source code
coalesce Source code
concentration.coefficient Source code
correlation Source code
covariance Source code
createFolds Source code
decision.stumps Source code
depth Source code
dimensionality Source code
discfct Source code
discreteness.degree Source code
dist Source code
dt.importance Source code
dt.model Source code
eigen.fract Source code
elite.nearest.neighbor Source code
entropy Source code
equivalent.attributes Source code
geometric.mean Source code
harmonic.mean Source code
hist Source code
homogeneity Source code
iqr Source code
joint.entropy Source code
kappa Source code
knn Source code
kurtosis Source code
linear.discriminant Source code
ls.discriminant Man page Source code
ls.general Man page Source code
ls.infotheo Man page Source code
ls.infotheo.multiples Source code
ls.landmarking Man page Source code
ls.landmarking.multiples Source code
ls.metafeatures Man page Source code
ls.model.based Man page Source code
ls.model.based.multiples Source code
ls.statistical Man page Source code
ls.statistical.multiples Source code
mad Source code
majority.class Source code
max.depth Source code
max.eigenvalue Source code
metafeatures Man page Source code
metafeatures.default Man page Source code
metafeatures.formula Man page Source code
mf.discriminant Man page Source code
mf.discriminant.default Man page Source code
mf.discriminant.formula Man page Source code
mf.general Man page Source code
mf.general.default Man page Source code
mf.general.formula Man page Source code
mf.infotheo Man page Source code
mf.infotheo.default Man page Source code
mf.infotheo.formula Man page Source code
mf.landmarking Man page Source code
mf.landmarking.default Man page Source code
mf.landmarking.formula Man page Source code
mf.model.based Man page Source code
mf.model.based.default Man page Source code
mf.model.based.formula Man page Source code
mf.statistical Man page Source code
mf.statistical.default Man page Source code
mf.statistical.formula Man page Source code
min.eigenvalue Source code
mutinf Source code
mutual.information Source code
naive.bayes Source code
nattribute Source code
nbinary Source code
nclasse Source code
nearest.neighbor Source code
ninstance Source code
nleave Source code
nnode Source code
nnumeric Source code
nodes.per.attribute Source code
nodes.per.instance Source code
nodes.per.level Source code
noise.signal Source code
non.aggregated Source code
normality Source code
nsymbolic Source code
outliers Source code
pbinary Source code
pnumeric Source code
post.processing Man page Source code
psymbolic Source code
repeated.nodes Source code
sdclass Source code
sdratio Source code
shape Source code
skewness Source code
standard.deviation Source code
trim.mean Source code
variable.importance Source code
variance Source code
wlambda Source code
worst.node Source code
rivolli/mfe documentation built on April 10, 2018, 6:12 p.m.