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Class weka.classifiers.adtree.Splitter
java.lang.Object
|
+----weka.classifiers.adtree.Splitter
- public abstract class Splitter
- extends Object
- implements Serializable, Cloneable
Abstract class representing a splitter node in an alternating tree.
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz)
-
orderAdded
- The number this node was in the order of nodes added to the tree
-
Splitter()
-
-
attributeString(Instances)
- Gets the string describing the attributes the split depends on.
-
branchInstanceGoesDown(Instance)
- Gets the index of the branch that an instance applies to.
-
clone()
- Clones this node.
-
comparisonString(int, Instances)
- Gets the string describing the comparision the split depends on for a particular
branch.
-
equalTo(Splitter)
- Tests whether two splitters are equivalent.
-
getChildForBranch(int)
- Gets the child for a branch of the split.
-
getNumOfBranches()
- Gets the number of branches of the split.
-
instancesDownBranch(int, Instances)
- Gets the subset of instances that apply to a particluar branch of the split.
-
setChildForBranch(int, PredictionNode)
- Sets the child for a branch of the split.
orderAdded
public int orderAdded
- The number this node was in the order of nodes added to the tree
Splitter
public Splitter()
getNumOfBranches
public abstract int getNumOfBranches()
- Gets the number of branches of the split.
- Returns:
- the number of branches
branchInstanceGoesDown
public abstract int branchInstanceGoesDown(Instance i)
- Gets the index of the branch that an instance applies to. Returns -1 if no branches
apply.
- Parameters:
- i - the instance
- Returns:
- the branch index
instancesDownBranch
public abstract ReferenceInstances instancesDownBranch(int branch,
Instances sourceInstances)
- Gets the subset of instances that apply to a particluar branch of the split. If the
branch index is -1, the subset will consist of those instances that don't apply to
any branch.
- Parameters:
- branch - the index of the branch
- sourceInstances - the instances from which to find the subset
- Returns:
- the set of instances that apply
attributeString
public abstract String attributeString(Instances dataset)
- Gets the string describing the attributes the split depends on.
i.e. the left hand side of the description of the split.
- Parameters:
- dataset - the dataset that the split is based on
- Returns:
- a string describing the attributes
comparisonString
public abstract String comparisonString(int branchNum,
Instances dataset)
- Gets the string describing the comparision the split depends on for a particular
branch. i.e. the right hand side of the description of the split.
- Parameters:
- branchNum - the branch of the split
- dataset - the dataset that the split is based on
- Returns:
- a string describing the comparison
equalTo
public abstract boolean equalTo(Splitter compare)
- Tests whether two splitters are equivalent.
- Parameters:
- compare - the splitter to compare with
- Returns:
- whether or not they match
setChildForBranch
public abstract void setChildForBranch(int branchNum,
PredictionNode childPredictor)
- Sets the child for a branch of the split.
- Parameters:
- branchNum - the branch to set the child for
- childPredictor - the new child
getChildForBranch
public abstract PredictionNode getChildForBranch(int branchNum)
- Gets the child for a branch of the split.
- Parameters:
- branchNum - the branch to get the child for
- Returns:
- the child
clone
public abstract Object clone()
- Clones this node. Performs a deep copy, recursing through the tree.
- Returns:
- a clone
- Overrides:
- clone in class Object
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