RandomSplitGenerator (adams-pom 24.11.0-SNAPSHOT API)

java.lang.Object
- adams.core.logging.LoggingObject
- - adams.core.logging.CustomLoggingLevelObject
  - - adams.data.splitgenerator.generic.randomsplit.RandomSplitGenerator

All Implemented Interfaces:

LoggingLevelHandler, LoggingSupporter, SizeOfHandler, Serializable
```
public class RandomSplitGenerator
extends CustomLoggingLevelObject
```
Generates generic random splits.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type Field Description

protected Randomization m_Randomization
the randomization scheme.

protected Splitter m_Splitter
the splitter scheme.
- Fields inherited from class adams.core.logging.LoggingObject
  m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors
Constructor Description

RandomSplitGenerator()
Initializes the cross-validation.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`<T> SplitPair<Binnable<T>>`	`generate(List<Binnable<T>> data)`	Generates the split.
`Randomization`	`getRandomization()`	Returns the randomization scheme in use.
`Splitter`	`getSplitter()`	Returns the splitter scheme in use.
`void`	`reset()`	Resets the scheme.
`void`	`setRandomization(Randomization value)`	Sets the randomization scheme to use.
`void`	`setSplitter(Splitter value)`	Sets the splitter scheme to use.

Methods inherited from class adams.core.logging.CustomLoggingLevelObject
setLoggingLevel

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, toString, wait, wait, wait

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

- Field Detail
  - m_Randomization
```
protected Randomization m_Randomization
```
    the randomization scheme.
  - m_Splitter
```
protected Splitter m_Splitter
```
    the splitter scheme.
- Constructor Detail
  - RandomSplitGenerator
```
public RandomSplitGenerator()
```
    Initializes the cross-validation.
- Method Detail
  - reset
```
public void reset()
```
    Resets the scheme.
  - setRandomization
```
public void setRandomization(Randomization value)
```
    Sets the randomization scheme to use.
    
    Parameters:
    
    value - the scheme
  - getRandomization
```
public Randomization getRandomization()
```
    Returns the randomization scheme in use.
    
    Returns:
    
    the scheme
  - setSplitter
```
public void setSplitter(Splitter value)
```
    Sets the splitter scheme to use.
    
    Parameters:
    
    value - the scheme
  - getSplitter
```
public Splitter getSplitter()
```
    Returns the splitter scheme in use.
    
    Returns:
    
    the scheme
  - generate
```
public <T> SplitPair<Binnable<T>> generate(List<Binnable<T>> data)
```
    Generates the split. Temporarily adds the original index to the Binnable meta-data, using Wrapping.TMP_INDEX as key.
    
    Type Parameters:
    
    T - the payload type
    
    Parameters:
    
    data - the data to generate the pairs from
    
    Returns:
    
    the fold pairs