The MCvDTreeNode type exposes the following members.

Methods

  NameDescription
Equals
Indicates whether this instance and a specified object are equal.
(Inherited from ValueType.)
Finalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
GetHashCode
Returns the hash code for this instance.
(Inherited from ValueType.)
GetType
Gets the Type of the current instance.
(Inherited from Object.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
ToString
Returns the fully qualified type name of this instance.
(Inherited from ValueType.)

Fields

  NameDescription
alpha
Global pruning data
bufIdx
Internal parameters
classIdx
The assigned to the node normalized class index (to 0..class_count-1 range), it is used internally in classification trees and tree ensembles.
complexity
Global pruning data
cvNodeError
Cross-validation pruning data
cvNodeRisk
Cross-validation pruning data
cvTn
Cross-validation pruning data
depth
The node depth, the root node depth is 0, the child nodes depth is the parent's depth + 1.
left
Pointer to the left tree node
maxlr
Internal parameters
nodeRisk
Global pruning data
numValid
Internal parameters
offset
Internal parameters
parent
Pointer to the parent tree node
right
Pointer to the right tree node
sampleCount
The number of samples that fall into the node at the training stage. It is used to resolve the difficult cases - when the variable for the primary split is missing, and all the variables for other surrogate splits are missing too, the sample is directed to the left if left->sample_count>right->sample_count and to the right otherwise
split
Pointer to CvDTreeSplit
Tn
The tree index in a ordered sequence of trees. The indices are used during and after the pruning procedure. The root node has the maximum value Tn of the whole tree, child nodes have Tn less than or equal to the parent's Tn, and the nodes with Tn<=CvDTree::pruned_tree_idx are not taken into consideration at the prediction stage (the corresponding branches are considered as cut-off), even if they have not been physically deleted from the tree at the pruning stage.
treeError
Global pruning data
treeRisk
Global pruning data
value
The value assigned to the tree node. It is either a class label, or the estimated function value.

See Also