R: Learning to Rank Bagging Workflows with Metalearning

# Learning to Rank Bagging Workflows with Metalearning

## Documentation for package ‘autoBagging’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

autoBagging-package | autoBagging
abmodel | abmodel
abmodel-class | abmodel-class
autoBagging | autoBagging
baggedtrees | bagged trees models
bagging | bagging method
bb | Boosting-based pruning of models
classmajority.landmarker | classmajority.landmarker
classmajority.landmarker.correlation | classmajority.landmarker.correlation
classmajority.landmarker.entropy | classmajority.landmarker.entropy
classmajority.landmarker.interinfo | classmajority.landmarker.interinfo
classmajority.landmarker.mutual.information | classmajority.landmarker.mutual.information
ContAttrs | Retrieve names of continuous attributes (not including the target)
dstump.landmarker_d1 | dstump.landmarker_d1
dstump.landmarker_d1.correlation | dstump.landmarker_d1.correlation
dstump.landmarker_d1.entropy | dstump.landmarker_d1.entropy
dstump.landmarker_d1.interinfo | dstump.landmarker_d1.interinfo
dstump.landmarker_d1.mutual.information | dstump.landmarker_d1.mutual.information
dstump.landmarker_d2 | dstump.landmarker_d2
dstump.landmarker_d2.correlation | dstump.landmarker_d2.correlation
dstump.landmarker_d2.entropy | dstump.landmarker_d2.entropy
dstump.landmarker_d2.interinfo | dstump.landmarker_d2.interinfo
dstump.landmarker_d2.mutual.information | dstump.landmarker_d2.mutual.information
dstump.landmarker_d3 | dstump.landmarker_d3
dstump.landmarker_d3.correlation | dstump.landmarker_d3.correlation
dstump.landmarker_d3.entropy | dstump.landmarker_d3.entropy
dstump.landmarker_d3.interinfo | dstump.landmarker_d3.interinfo
dstump.landmarker_d3.mutual.information | dstump.landmarker_d3.mutual.information
GetMeasure | Retrieve the value of a previously computed measure
get_target | get target variable
KNORA.E | K-Nearest-ORAcle-Eliminate
lda.landmarker.correlation | lda.landmarker.correlation
majority_voting | majority voting
mdsq | Margin Distance Minimization
nb.landmarker | nb.landmarker
nb.landmarker.correlation | nb.landmarker.correlation
nb.landmarker.entropy | nb.landmarker.entropy
nb.landmarker.interinfo | nb.landmarker.interinfo
nb.landmarker.mutual.information | nb.landmarker.mutual.information
OLA | Overall Local Accuracy
predict-method | Predicting on new data with a *abmodel* model
ReadDF | FUNCTION TO TRANSFORM DATA FRAME INTO LIST WITH GSI REQUIREMENTS
SymbAttrs | Retrieve names of symbolic attributes (not including the target)
sysdata | sysdata