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java.lang.Objectopennlp.tools.util.eval.CrossValidationPartitioner<E>
public class CrossValidationPartitioner<E>
Provides access to training and test partitions for n-fold cross validation.
Cross validation is used to evaluate the performance of a classifier when only training data is available. The training set is split into n parts and the training / evaluation is performed n times on these parts. The training partition always consists of n -1 parts and one part is used for testing.
To use the CrossValidationPartioner a client iterates over the n
TrainingSampleStreams. Each TrainingSampleStream represents
one partition and is used first for training and afterwards for testing.
The TestSampleStream can be obtained from the TrainingSampleStream
with the getTestSampleStream method.
| Nested Class Summary | |
|---|---|
static class |
CrossValidationPartitioner.TrainingSampleStream<E>
The TrainingSampleStream which iterates over
all training elements. |
| Constructor Summary | |
|---|---|
CrossValidationPartitioner(Collection<E> elements,
int numberOfPartitions)
Initializes the current instance. |
|
CrossValidationPartitioner(ObjectStream<E> inElements,
int numberOfPartitions)
Initializes the current instance. |
|
| Method Summary | |
|---|---|
boolean |
hasNext()
Checks if there are more partitions available. |
CrossValidationPartitioner.TrainingSampleStream<E> |
next()
Retrieves the next training and test partitions. |
String |
toString()
|
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public CrossValidationPartitioner(ObjectStream<E> inElements,
int numberOfPartitions)
inElements - numberOfPartitions -
public CrossValidationPartitioner(Collection<E> elements,
int numberOfPartitions)
elements - numberOfPartitions - | Method Detail |
|---|
public boolean hasNext()
public CrossValidationPartitioner.TrainingSampleStream<E> next()
throws IOException
IOExceptionpublic String toString()
toString in class Object
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