Class for building model of the decision forest classification algorithm
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Constructs the decision forest classification model builder
- Parameters
-
| context | Context to manage decision forest classification model builder |
| nClasses | Number of classes |
| nTrees | Number of trees |
| long addLeafNode |
( |
long |
treeId, |
|
|
long |
parentId, |
|
|
long |
position, |
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|
long |
classLabel |
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) |
| |
Create Leaf node and add it to certain tree
- Parameters
-
| treeId | Tree to which new node is added |
| parentId | Parent node to which new node is added (use noParent for root node) |
| position | Position in parent (e.g. 0 for left and 1 for right child in a binary tree) |
| classLabel | Class label to be predicted |
- Returns
- Positive number node identifier
| long addSplitNode |
( |
long |
treeId, |
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|
long |
parentId, |
|
|
long |
position, |
|
|
long |
featureIndex, |
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|
double |
featureValue |
|
) |
| |
Create Split node and add it to certain tree
- Parameters
-
| treeId | Tree to which new node is added |
| parentId | Parent node to which new node is added (use noParent for root node) |
| position | Position in parent (e.g. 0 for left and 1 for right child in a binary tree) |
| featureIndex | Feature index for spliting |
| featureValue | Feature value for spliting |
- Returns
- Positive number node identifier
| long createTree |
( |
long |
nNodes | ) |
|
Creates certain tree in the decision forest model
- Parameters
-
| nNodes | Number of nodes in created tree |
- Returns
- Positive number tree identifier
Get built model of decision forest classification
- Returns
- Model of decision forest classification
The documentation for this class was generated from the following file:
- decision_forest/classification/ModelBuilder.java