public class Bagging extends AbstractRegressor
Algorithm.EdgeDirectionmode, OUTPUTERRORALGORITHM, PREDICT, TRAINALGORITHMARRAY, COMPRESSED, DECOMPRESSED, DIFFERENCE, DIMENSION, HASH, IGNORENAN, INPUT, PREDICTED, RMSE, SOURCE, TARGET, WEIGHTDESCRIPTION| Constructor and Description |
|---|
Bagging(int bootstrapSize,
Regressor... learningAlgorithms) |
Bagging(Regressor... learningAlgorithms) |
Bagging(Regressor learningAlgorithm,
int count) |
Bagging(Regressor learningAlgorithm,
int count,
int bootstrapSize) |
| Modifier and Type | Method and Description |
|---|---|
Regressor |
emptyCopy() |
Matrix |
predictOne(Matrix input) |
void |
reset() |
void |
trainAll(ListDataSet dataSet) |
getClassCount, getFeatureCount, getInputLabel, getMode, getOutputErrorAlgorithm, getTargetLabel, getWeightLabel, isDiscrete, predictAll, predictOne, setInputLabel, setMode, setOutputErrorAlgorithm, setTargetLabel, setWeightLabel, trainOne, trainOne, trainOneaddVariableKey, calculate, calculate, calculate, calculate, calculateObjects, calculateObjects, calculateObjects, clear, getAlgorithmMap, getDataSetMap, getDescription, getEdgeDirection, getEdgeLabel, getId, getInputKeys, getLabel, getLabelObject, getOutputKeys, getVariableKeys, getVariableMap, setAlgorithm, setDescription, setEdgeDirection, setEdgeLabel, setId, setLabel, setVariable, setVariables, toStringclone, fireValueChanged, getCoreObjectId, getGUIObject, showGUIequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitclone, getCoreObjectIdfireValueChanged, getGUIObject, showGUIpublic Bagging(Regressor learningAlgorithm, int count)
public Bagging(Regressor learningAlgorithm, int count, int bootstrapSize)
public Bagging(Regressor... learningAlgorithms)
public Bagging(int bootstrapSize,
Regressor... learningAlgorithms)
public void trainAll(ListDataSet dataSet)
public void reset()
public Regressor emptyCopy()
Copyright © 2015 Java Data Mining Package. All rights reserved.