InputType - The input type the regression tree evaluates.public class RegressionTree<InputType> extends DecisionTree<InputType,java.lang.Double> implements Regressor<InputType>
RegressionTree class extends the DecisionTree class
to implement a decision tree that does regression.rootNode| Constructor and Description |
|---|
RegressionTree()
Creates a new instance of RegressionTree.
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RegressionTree(DecisionTreeNode<InputType,java.lang.Double> rootNode)
Creates a new instance of RegressionTree.
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| Modifier and Type | Method and Description |
|---|---|
RegressionTree<InputType> |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
double |
evaluateAsDouble(InputType input)
Evaluates the scalar function as a double.
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evaluate, evaluateNode, findTerminalNode, findTerminalNode, getRootNode, setRootNodeequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitevaluatepublic RegressionTree()
public RegressionTree(DecisionTreeNode<InputType,java.lang.Double> rootNode)
rootNode - The root node of the tree.public RegressionTree<InputType> clone()
AbstractCloneableSerializableObject class and
removes the exception that it throws. Its default behavior is to
automatically create a clone of the exact type of object that the
clone is called on and to copy all primitives but to keep all references,
which means it is a shallow copy.
Extensions of this class may want to override this method (but call
super.clone() to implement a "smart copy". That is, to target
the most common use case for creating a copy of the object. Because of
the default behavior being a shallow copy, extending classes only need
to handle fields that need to have a deeper copy (or those that need to
be reset). Some of the methods in ObjectUtil may be helpful in
implementing a custom clone method.
Note: The contract of this method is that you must use
super.clone() as the basis for your implementation.clone in interface CloneableSerializableclone in class DecisionTree<InputType,java.lang.Double>public double evaluateAsDouble(InputType input)
ScalarFunctionevaluateAsDouble in interface ScalarFunction<InputType>input - The input value.