com.groupdocs.search.options

Class TableDiscreteFunction

java.lang.Object

com.groupdocs.search.options.FuzzyAlgorithm

com.groupdocs.search.options.TableDiscreteFunction

public class TableDiscreteFunction
extends FuzzyAlgorithm

Represents the fuzzy search algorithm that contains correspondences between word lengths and the number of allowed mistakes. This algorithm can be specified by a table of output values or by a step function.

Learn more

• Fuzzy search

The example demonstrates a typical usage of the class.

 
 String indexFolder = "c:\\MyIndex\\";
 String documentsFolder = "c:\\MyDocuments\\";
 String query = "Einstein";
 Index index = new Index(indexFolder); // Creating an index in the specified folder
 index.add(documentsFolder); // Indexing documents from the specified folder
 SearchOptions options = new SearchOptions();
 options.getFuzzySearch().setEnabled(true); // Enabling the fuzzy search
 options.getFuzzySearch().setFuzzyAlgorithm(new TableDiscreteFunction(1, new Step(5, 2), new Step(8, 3))); // Creating the fuzzy search algorithm
 // This function specifies 1 as the maximum number of mistakes for words from 1 to 4 characters.
 // It specifies 2 as the maximum number of mistakes for words from 5 to 7 characters.
 // It specifies 3 as the maximum number of mistakes for words from 8 and more characters.
 SearchResult result = index.search(query, options); // Search in index
 
 

Field Summary

Fields inherited from class com.groupdocs.search.options.FuzzyAlgorithm

core

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	TableDiscreteFunction() Initializes a new instance of the TableDiscreteFunction class.
	TableDiscreteFunction(int offsetOfInputs, int[] tableOfOutputs) Initializes a new instance of the TableDiscreteFunction class.
	TableDiscreteFunction(int firstStepLevel, Step... steps) Initializes a new instance of the TableDiscreteFunction class.

Method Summary

Modifier and Type	Method and Description
protected static TableDiscreteFunction	create(com.aspose.ms.System.IO.Stream stream)
int	getMaxMistakeCount(int termLength) Gets a maximum allowed number of mistakes for specified term length.
double	getSimilarityLevel(int termLength) Gets a similarity level for specified term length.

Methods inherited from class com.groupdocs.search.options.FuzzyAlgorithm

getCore

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TableDiscreteFunction

protected TableDiscreteFunction()

Initializes a new instance of the TableDiscreteFunction class.

TableDiscreteFunction

public TableDiscreteFunction(int offsetOfInputs,
                             int[] tableOfOutputs)

Initializes a new instance of the TableDiscreteFunction class.

Parameters:

offsetOfInputs - The offset of the table indeces relative to the input values.

tableOfOutputs - The table of output values.

TableDiscreteFunction

public TableDiscreteFunction(int firstStepLevel,
                             Step... steps)

Initializes a new instance of the TableDiscreteFunction class.

Parameters:

firstStepLevel - The level of the first step of the step function.

steps - The next steps of the step function.

Method Detail

create

protected static TableDiscreteFunction create(com.aspose.ms.System.IO.Stream stream)

getMaxMistakeCount

public int getMaxMistakeCount(int termLength)

Gets a maximum allowed number of mistakes for specified term length.

Specified by:

getMaxMistakeCount in class FuzzyAlgorithm

Parameters:

termLength - The term length.

Returns:

A maximum allowed number of mistakes.

getSimilarityLevel

public double getSimilarityLevel(int termLength)

Gets a similarity level for specified term length.

Specified by:

getSimilarityLevel in class FuzzyAlgorithm

Parameters:

termLength - The term length.

Returns:

A similarity level.