Learning to Rank Bagging Workflows with Metalearning
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Documentation for package ‘autoBagging’ version 0.1.0
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 |