IDetector (Sherlock 0.5.61 API)

All Known Implementing Classes:

Detector, NGramDetector, PairwiseDetector, VariableNameDetector
```
public interface IDetector<T extends DetectorWorker>
```
Low level interface for implementing a detection algorithm. The Abstract Detector class should be used over this

Supports adjustable parameters see AdjustableParameter

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`java.util.List<T>`	`buildWorkers(java.util.List<ModelDataItem> data)`	Builds a set of workers on a passed dataset, these workers are executed in parallel to produce the algorithm result
`java.lang.String`	`getDescription()`	Fetches the description string for the detector
`java.lang.String`	`getDisplayName()`	Fetches the display name for the detector
`java.util.List<PreProcessingStrategy>`	`getPreProcessors()`	Specify the preprocessors required for this detector.

- Method Detail
  - buildWorkers
```
java.util.List<T> buildWorkers(java.util.List<ModelDataItem> data)
```
    Builds a set of workers on a passed dataset, these workers are executed in parallel to produce the algorithm result
    
    Parameters:
    
    data - preprocessed dataset
    
    Returns:
    
    list of configured workers ready to be executed
  - getDescription
```
java.lang.String getDescription()
```
    Fetches the description string for the detector
    
    Returns:
    
    the description
  - getDisplayName
```
java.lang.String getDisplayName()
```
    Fetches the display name for the detector
    
    Returns:
    
    the display name
  - getPreProcessors
```
java.util.List<PreProcessingStrategy> getPreProcessors()
```
    Specify the preprocessors required for this detector.
    
    The individual strategies in the list can be produced using the generic methods PreProcessingStrategy.of(String, Class...) or PreProcessingStrategy.of(String, boolean, Class...) in the interface, or using a fully custom PreProcessingStrategy class.
    
    The string name of each of the strategies is used as the key reference in the preprocessed dataset given to the buildWorkers(List) method
    
    Returns:
    
    a list of the required preprocessing strategies