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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