TableDiscreteFunction Leave feedback

Inheritance: java.lang.Object, com.groupdocs.search.options.FuzzyAlgorithm

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.

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• 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
 
```
 

public TableDiscreteFunction(int offsetOfInputs, int[] tableOfOutputs)

Initializes a new instance of the TableDiscreteFunction class.

Parameters:

public TableDiscreteFunction(int firstStepLevel, Step[] steps)

Initializes a new instance of the TableDiscreteFunction class.

Parameters:

public double getSimilarityLevel(int termLength)

Gets a similarity level for specified term length.

Parameters:

Returns: double - A similarity level.

public int getMaxMistakeCount(int termLength)

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

Parameters:

Returns: int - A maximum allowed number of mistakes.