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RapidFuzz/docs/process.rst

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Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
2021-02-12 15:37:44 +00:00
process module
==============
add cdist implementation
2021-09-10 10:44:54 +00:00
cdist
----------
.. autofunction:: rapidfuzz.process.cdist
Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
2021-02-12 15:37:44 +00:00
extract
-------
.. autofunction:: rapidfuzz.process.extract
extract_iter
------------
.. autofunction:: rapidfuzz.process.extract_iter
extractOne
----------
.. autofunction:: rapidfuzz.process.extractOne