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  7. TableDiscreteFunction

TableDiscreteFunction

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TableDiscreteFunction class

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.

public class TableDiscreteFunction : FuzzyAlgorithm

Constructors

Name Description
TableDiscreteFunction(int, int[]) Initializes a new instance of the TableDiscreteFunction class.
TableDiscreteFunction(int, params Step[]) Initializes a new instance of the TableDiscreteFunction class.

Methods

Name Description
override GetMaxMistakeCount(int) Gets a maximum allowed number of mistakes for specified term length.
override GetSimilarityLevel(int) Gets a similarity level for specified term length.

Remarks

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Examples

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.FuzzySearch.Enabled = true; // Enabling the fuzzy search
options.FuzzySearch.FuzzyAlgorithm = 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

See Also

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