## Uses of Class
org.apache.mahout.classifier.df.node.Node

Packages that use Node
org.apache.mahout.classifier.df
org.apache.mahout.classifier.df.builder
org.apache.mahout.classifier.df.mapreduce
org.apache.mahout.classifier.df.mapreduce.partial: Partial-data mapreduce implementation of Random Decision Forests
org.apache.mahout.classifier.df.node
org.apache.mahout.classifier.df.tools

Uses of Node in org.apache.mahout.classifier.df

Methods in org.apache.mahout.classifier.df that return Node
`Node` `Bagging.build(Random rng)` Builds one tree
`static Node[]` `DFUtils.readNodeArray(DataInput in)` Reads a Node[] from a DataInput

Methods in org.apache.mahout.classifier.df with parameters of type Node
`static void` `DFUtils.writeArray(DataOutput out, Node[] array)` Writes an Node[] into a DataOutput

Constructor parameters in org.apache.mahout.classifier.df with type arguments of type Node
`DecisionForest(List<Node> trees)`

Uses of Node in org.apache.mahout.classifier.df.builder

Methods in org.apache.mahout.classifier.df.builder that return Node
`Node` `TreeBuilder.build(Random rng, Data data)` Builds a Decision tree using the training data
`Node` `DefaultTreeBuilder.build(Random rng, Data data)`
`Node` `DecisionTreeBuilder.build(Random rng, Data data)`

Uses of Node in org.apache.mahout.classifier.df.mapreduce

Methods in org.apache.mahout.classifier.df.mapreduce that return Node
`Node` `MapredOutput.getTree()`

Constructors in org.apache.mahout.classifier.df.mapreduce with parameters of type Node
`MapredOutput(Node tree)`
`MapredOutput(Node tree, int[] predictions)`

Uses of Node in org.apache.mahout.classifier.df.mapreduce.partial

Methods in org.apache.mahout.classifier.df.mapreduce.partial with parameters of type Node
`protected static void` `PartialBuilder.processOutput(org.apache.hadoop.mapreduce.JobContext job, org.apache.hadoop.fs.Path outputPath, TreeID[] keys, Node[] trees)` Processes the output from the output path.

Uses of Node in org.apache.mahout.classifier.df.node

Subclasses of Node in org.apache.mahout.classifier.df.node
`class` `CategoricalNode`
`class` `Leaf` Represents a Leaf node
`class` `NumericalNode` Represents a node that splits using a numerical attribute

Methods in org.apache.mahout.classifier.df.node that return Node
`static Node` `Node.read(DataInput in)`

Constructors in org.apache.mahout.classifier.df.node with parameters of type Node
`CategoricalNode(int attr, double[] values, Node[] childs)`
`NumericalNode(int attr, double split, Node loChild, Node hiChild)`

Uses of Node in org.apache.mahout.classifier.df.tools

Methods in org.apache.mahout.classifier.df.tools with parameters of type Node
`static String[]` `TreeVisualizer.predictTrace(Node tree, Data data, String[] attrNames)` Predict trace to String
`static void` `TreeVisualizer.predictTracePrint(Node tree, Data data, String[] attrNames)` Print predict trace
`static void` `TreeVisualizer.print(Node tree, Dataset dataset, String[] attrNames)` Print Decision tree
`static String` `TreeVisualizer.toString(Node tree, Dataset dataset, String[] attrNames)` Decision tree to String

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