InputType
- Type of inputs to the categorizer.CategoryType
- Type of the categories of the categorizer.public static class DiscreteNaiveBayesCategorizer.Learner<InputType,CategoryType> extends AbstractCloneableSerializable implements SupervisedBatchLearner<java.util.Collection<InputType>,CategoryType,DiscreteNaiveBayesCategorizer<InputType,CategoryType>>
Constructor and Description |
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Learner()
Default constructor.
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Modifier and Type | Method and Description |
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DiscreteNaiveBayesCategorizer<InputType,CategoryType> |
learn(java.util.Collection<? extends InputOutputPair<? extends java.util.Collection<InputType>,CategoryType>> data)
The
learn method creates an object of ResultType using
data of type DataType , using some form of "learning" algorithm. |
clone
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clone
public DiscreteNaiveBayesCategorizer<InputType,CategoryType> learn(java.util.Collection<? extends InputOutputPair<? extends java.util.Collection<InputType>,CategoryType>> data)
BatchLearner
learn
method creates an object of ResultType
using
data of type DataType
, using some form of "learning" algorithm.learn
in interface BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.util.Collection<InputType>,CategoryType>>,DiscreteNaiveBayesCategorizer<InputType,CategoryType>>
data
- The data that the learning algorithm will use to create an
object of ResultType
.