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Uses of Data in org.apache.mahout.classifier.df |
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Methods in org.apache.mahout.classifier.df with parameters of type Data | |
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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 | |
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Bagging(TreeBuilder treeBuilder,
Data data)
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Uses of Data in org.apache.mahout.classifier.df.builder |
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Methods in org.apache.mahout.classifier.df.builder with parameters of type Data | |
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Node |
TreeBuilder.build(Random rng,
Data data)
Builds a Decision tree using the training data |
Node |
DefaultTreeBuilder.build(Random rng,
Data data)
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Node |
DecisionTreeBuilder.build(Random rng,
Data data)
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Uses of Data in org.apache.mahout.classifier.df.data |
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Methods in org.apache.mahout.classifier.df.data that return Data | |
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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()
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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)
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Uses of Data in org.apache.mahout.classifier.df.ref |
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Constructors in org.apache.mahout.classifier.df.ref with parameters of type Data | |
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SequentialBuilder(Random rng,
TreeBuilder treeBuilder,
Data data)
Constructor |
Uses of Data in org.apache.mahout.classifier.df.split |
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Methods in org.apache.mahout.classifier.df.split with parameters of type Data | |
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Split |
RegressionSplit.computeSplit(Data data,
int attr)
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Split |
OptIgSplit.computeSplit(Data data,
int attr)
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abstract Split |
IgSplit.computeSplit(Data data,
int attr)
Computes the best split for the given attribute |
Split |
DefaultIgSplit.computeSplit(Data data,
int attr)
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protected double |
DefaultIgSplit.entropy(Data data)
Computes the Entropy |
Uses of Data in org.apache.mahout.classifier.df.tools |
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Methods in org.apache.mahout.classifier.df.tools with parameters of type Data | |
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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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