smile.base.cart

Class RegressionNode

java.lang.Object

smile.base.cart.LeafNode

smile.base.cart.RegressionNode

All Implemented Interfaces:

java.io.Serializable, Node

public class RegressionNode
extends LeafNode

A leaf node in regression tree.

See Also:

Serialized Form

Field Summary

Fields inherited from class smile.base.cart.LeafNode

size

Constructor Summary

Constructors

Constructor and Description
RegressionNode(int size, double output, double mean, double rss) Constructor.

Method Summary

Modifier and Type	Method and Description
double	deviance() Returns the deviance of node.
java.lang.String	dot(smile.data.type.StructType schema, smile.data.type.StructField response, int id) Returns a dot representation for visualization.
boolean	equals(java.lang.Object o)
double	impurity() Returns the residual sum of squares.
double	mean() Returns the mean of response variable.
double	output() Returns the predicted value.
int[]	toString(smile.data.type.StructType schema, smile.data.type.StructField response, InternalNode parent, int depth, java.math.BigInteger id, java.util.List<java.lang.String> lines) Adds the string representation (R's rpart format) to a collection.

Methods inherited from class smile.base.cart.LeafNode

depth, leafs, merge, predict, size

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

RegressionNode

public RegressionNode(int size,
                      double output,
                      double mean,
                      double rss)

Constructor.

Parameters:

size - the number of samples in the node

output - the predicted value for this node.

mean - the mean of response variable.

rss - the residual sum of squares.

Method Detail

output

public double output()

Returns the predicted value.

mean

public double mean()

Returns the mean of response variable.

impurity

public double impurity()

Returns the residual sum of squares.

deviance

public double deviance()

Description copied from interface: Node

Returns the deviance of node.

dot

public java.lang.String dot(smile.data.type.StructType schema,
                            smile.data.type.StructField response,
                            int id)

Description copied from interface: Node

Returns a dot representation for visualization.

Parameters:

schema - the schema of data

response - the schema of response variable

id - node id

toString

public int[] toString(smile.data.type.StructType schema,
                      smile.data.type.StructField response,
                      InternalNode parent,
                      int depth,
                      java.math.BigInteger id,
                      java.util.List<java.lang.String> lines)

Description copied from interface: Node

Adds the string representation (R's rpart format) to a collection.

Parameters:

schema - the schema of data

response - the schema of response variable

parent - the parent node

depth - the depth of node in the tree. The root node is at depth 0.

id - node id

lines - the collection of node's string representation.

Returns:

the sample count of each class for decision tree; single element array [node size] for regression tree.

equals

public boolean equals(java.lang.Object o)

Overrides:

equals in class java.lang.Object