public class CrossValidationPartitioner<E> extends Object
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.
| Modifier and Type | Class and Description |
|---|---|
static class |
CrossValidationPartitioner.TrainingSampleStream<E>
The
TrainingSampleStream which iterates over
all training elements. |
| Constructor and Description |
|---|
CrossValidationPartitioner(Collection<E> elements,
int numberOfPartitions)
Initializes the current instance.
|
CrossValidationPartitioner(ObjectStream<E> inElements,
int numberOfPartitions)
Initializes the current instance.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
hasNext()
Checks if there are more partitions available.
|
CrossValidationPartitioner.TrainingSampleStream<E> |
next()
Retrieves the next training and test partitions.
|
String |
toString() |
public CrossValidationPartitioner(ObjectStream<E> inElements, int numberOfPartitions)
inElements - numberOfPartitions - public CrossValidationPartitioner(Collection<E> elements, int numberOfPartitions)
elements - numberOfPartitions - public boolean hasNext()
public CrossValidationPartitioner.TrainingSampleStream<E> next() throws IOException
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