AbstractSplitter (adams-pom 24.5.0-SNAPSHOT API)

java.lang.Object
- adams.core.logging.LoggingObject
- - adams.core.logging.CustomLoggingLevelObject
  - - adams.core.option.AbstractOptionHandler
    - - adams.data.weka.datasetsplitter.AbstractSplitter

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

Direct Known Subclasses:

ColumnSplitter, RowSplitter
```
public abstract class AbstractSplitter
extends AbstractOptionHandler
```
Parent class for different methods of splitting a dataset into smaller datasets.

Author:

Corey Sterling (csterlin at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary
- Fields inherited from class adams.core.option.AbstractOptionHandler
  m_OptionManager
- Fields inherited from class adams.core.logging.LoggingObject
  m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors
Constructor Description

AbstractSplitter()

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`abstract weka.core.Instances[]`	`split(weka.core.Instances dataset)`	Splits the given dataset into a number of other datasets.

Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, defineOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, globalInfo, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel

- Constructor Detail
  - AbstractSplitter
```
public AbstractSplitter()
```
- Method Detail
  - split
```
public abstract weka.core.Instances[] split(weka.core.Instances dataset)
```
    Splits the given dataset into a number of other datasets. Should be implemented by sub-classes to perform actual splitting.
    
    Parameters:
    
    dataset - The dataset to split.
    
    Returns:
    
    An array of datasets resulting from the split.