## Uses of Class
org.apache.mahout.classifier.df.data.Data

Packages that use Data
org.apache.mahout.classifier.df
org.apache.mahout.classifier.df.builder
org.apache.mahout.classifier.df.data
org.apache.mahout.classifier.df.ref
org.apache.mahout.classifier.df.split
org.apache.mahout.classifier.df.tools

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

Methods in org.apache.mahout.classifier.df with parameters of type Data
`void` `DecisionForest.classify(Data data, double[][] predictions)` Classifies the data and calls callback for each classification

Constructors in org.apache.mahout.classifier.df with parameters of type Data
`Bagging(TreeBuilder treeBuilder, Data data)`

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

Methods in org.apache.mahout.classifier.df.builder with parameters of type Data
`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 Data in org.apache.mahout.classifier.df.data

Methods in org.apache.mahout.classifier.df.data that return Data
`Data` `Data.bagging(Random rng)` if data has N cases, sample N cases at random -but with replacement.
`Data` `Data.bagging(Random rng, boolean[] sampled)` if data has N cases, sample N cases at random -but with replacement.
`Data` `Data.clone()`
`static Data` `DataLoader.loadData(Dataset dataset, org.apache.hadoop.fs.FileSystem fs, org.apache.hadoop.fs.Path fpath)` Loads the data from a file
`static Data` `DataLoader.loadData(Dataset dataset, String[] data)` Loads the data from a String array
`Data` `Data.rsplit(Random rng, int subsize)` Splits the data in two, returns one part, and this gets the rest of the data.
`Data` `Data.subset(Condition condition)`

Uses of Data in org.apache.mahout.classifier.df.ref

Constructors in org.apache.mahout.classifier.df.ref with parameters of type Data
`SequentialBuilder(Random rng, TreeBuilder treeBuilder, Data data)` Constructor

Uses of Data in org.apache.mahout.classifier.df.split

Methods in org.apache.mahout.classifier.df.split with parameters of type Data
`Split` `RegressionSplit.computeSplit(Data data, int attr)`
`Split` `OptIgSplit.computeSplit(Data data, int attr)`
`abstract Split` `IgSplit.computeSplit(Data data, int attr)` Computes the best split for the given attribute
`Split` `DefaultIgSplit.computeSplit(Data data, int attr)`
`protected double` `DefaultIgSplit.entropy(Data data)` Computes the Entropy

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

Methods in org.apache.mahout.classifier.df.tools with parameters of type Data
`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

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