# hybrid-jaccard
Implementation of hybrid jaccard similarity
Package files:
|
|-> __init__.py
|
|-> hybrid_jaccard.py: contains the base class for hybrid jaccard string matching
|
|-> jaro.py & typo_tables.py: contain the methods for jaro distance calculation
|
|-> munkres.py: contains the hungarian matching algorithm
|
|-> eye_config.txt: contains the configuration info for the hybrid-jaccard class
|
|-> eye_reference.txt: contains the reference eye colors
|
|-> input.txt: a sample input file for testing the program
|
|-> README.md
|
|-> LICENSE
Usage:
You should import "HybridJaccard" in your code. The main class is HybridJaccard.
The class constructor gets two arguments, path to reference and config files respectively.
The "findBestMatch" method returns the best match for the input string among those in the
reference file if one exists, and returns "NONE" otherwise. A sample usage might be like:
sm = HybridJaccard()
match = sm.findBestMatch("beautiful light bluish eyes")
about eye_config.txt:
-- it has a field "type" which is for now always "hybrid_jaccard"
-- it has a field "partial_method" which can be "jaro" or "levenshtein"
-- it has a field "threshold" which determines how picky we want to be in hybrid jaccard algorithm before doing the matching
Implementation of hybrid jaccard similarity
Package files:
|
|-> __init__.py
|
|-> hybrid_jaccard.py: contains the base class for hybrid jaccard string matching
|
|-> jaro.py & typo_tables.py: contain the methods for jaro distance calculation
|
|-> munkres.py: contains the hungarian matching algorithm
|
|-> eye_config.txt: contains the configuration info for the hybrid-jaccard class
|
|-> eye_reference.txt: contains the reference eye colors
|
|-> input.txt: a sample input file for testing the program
|
|-> README.md
|
|-> LICENSE
Usage:
You should import "HybridJaccard" in your code. The main class is HybridJaccard.
The class constructor gets two arguments, path to reference and config files respectively.
The "findBestMatch" method returns the best match for the input string among those in the
reference file if one exists, and returns "NONE" otherwise. A sample usage might be like:
sm = HybridJaccard()
match = sm.findBestMatch("beautiful light bluish eyes")
about eye_config.txt:
-- it has a field "type" which is for now always "hybrid_jaccard"
-- it has a field "partial_method" which can be "jaro" or "levenshtein"
-- it has a field "threshold" which determines how picky we want to be in hybrid jaccard algorithm before doing the matching
2 maintainers
Metadata
2 maintainers
Release files for hybridJaccard 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hybridJaccard-0.0.3.tar.gz | 3.1 kB | Without provenance | Details |
Release files / hybridJaccard-0.0.3.tar.gz
| Download URL | hybridJaccard-0.0.3.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
97dcdf24ff59d7f7c33dea735fd7c3cc5a803677da0ba3d8e3a3ad4571c0db2e
|
|
BLAKE2b-256 checksum How to use checksums |
17e82dd2e57f7c2c0d2be78e5a6206e2e363867a17dc0890fed33a93556da4a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for hybridJaccard 0.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
