TableDiscreteFunction class Leave feedback
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Represents the fuzzy search algorithm that contains correspondences between word lengths and the number of allowed mistakes.
Learn more:
The TableDiscreteFunction type exposes the following members:
| Constructor | Description |
|---|---|
| init | Initializes a new TableDiscreteFunction instance. |
| init | Initializes a new TableDiscreteFunction. |
| Method | Description |
|---|---|
| get_max_mistake_count | Returns the maximum allowed number of mistakes for the specified term length. |
| get_similarity_level | Gets a similarity level for the specified term length. |
from groupdocs.search import Index
from groupdocs.search.options import SearchOptions, TableDiscreteFunction, Step
index = Index("./index")
index.add("./documents")
options = SearchOptions()
options.fuzzy_search.enabled = True
# Use a step function: max 1 mistake for words 1‑4 characters,
# 2 mistakes for 5‑7 characters, and 3 mistakes for 8+ characters.
options.fuzzy_search.fuzzy_algorithm = TableDiscreteFunction(1, [Step(5, 2), Step(8, 3)])
result = index.search("Einstein", options)
print(result.document_count)
Task guides that use TableDiscreteFunction:
- module
groupdocs.search.options
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