@Deprecated public interface DecisionTreeBasedFunctionEstimator extends FunctionEstimator
Modifier and Type | Method and Description |
---|---|
int |
getNumInstances()
Deprecated.
Gets the number of instances in the instances set.
|
void |
setBinarySplit(boolean isBinary)
Deprecated.
Sets the binary split option for the weka J48 tree.
|
void |
setConfidenceFactor(float confidenceThreshold)
Deprecated.
Sets the confidence threshold option for the weka tree.
|
void |
setCrossValidate(boolean validate)
Deprecated.
|
void |
setMinNumObj(int minNumObj)
Deprecated.
Sets the minimum number of instances per leaf option for the weka tree.
|
void |
setNumFolds(int numFoldErrorPruning)
Deprecated.
Sets the number of folds for error pruning option for the weka tree.
|
void |
setUnpruned(boolean isUnpruned)
Deprecated.
Sets the unpruned option for the weka tree.
|
addInstance, computeFMeasure, computeQualityMeasure, getEstimation, getFunctionEstimation, getQualityMeasureName, saveInstances
int getNumInstances()
void setMinNumObj(int minNumObj)
minNumInstancePerLeaf
- void setUnpruned(boolean isUnpruned)
isUnpruned
- , true to enable unpruned.void setBinarySplit(boolean isBinary)
binarySplit
- Boolean. True to enable binary split.void setCrossValidate(boolean validate)
validate
- whether to do cross-validationvoid setConfidenceFactor(float confidenceThreshold)
confidenceThreshold
- void setNumFolds(int numFoldErrorPruning)
numFoldErrorPruning
-