fuzzy-matcher | A super simple MIT licensed fuzzy matching library | Search Engine library
kandi X-RAY | fuzzy-matcher Summary
kandi X-RAY | fuzzy-matcher Summary
A super simple MIT licensed fuzzy matching library to be used as an MIT alternative to Fuzzy Wuzzy which is GPL licensed. It is much less featured as Fuzzy Wuzzy, so if GPL is not blocking you, you should probably use Fuzzy Wuzzy instead.
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Top functions reviewed by kandi - BETA
- Extract a value from a list of choices
- Return the appropriate scorer class
- Return the distance between two values
- Compute the distance between two values
- Compute the partial similarity between two values
- Compute the partial distance between two values
fuzzy-matcher Key Features
fuzzy-matcher Examples and Code Snippets
Community Discussions
Trending Discussions on fuzzy-matcher
QUESTION
I am trying to use fuzzy-matcher library to match a list of names from our data base. The data is serialized into a java object, wanted to find out how we can map the data into the Document object defined in fuzzy-matcher library
https://github.com/intuit/fuzzy-matcher
Our User.java class has these attributes
- userId
- firstName
- lastName
- address
- etc ....
We have over 1000 users in our db, and would like to run these through fuzzy-matcher to help detect duplicates.
Any code snippet that can help us better understand the library would be helpful
...ANSWER
Answered 2020-Aug-03 at 19:39Here the User
object maps to Document
whereas each attributes will need to map to an Element
object in fuzzy-matcher
If you have a Collection of the User
object in java, you can convert it to Document/Element objects like this
QUESTION
There are lots of libraries out there that provide a fuzzy string search functionality, where you can give an input string, and search for "close enough" strings.
e.g., if you enter the word cat
, you may get:
- cat (100%)
- hat
- rat
- catt
- etc.
Is there any sort of functionality, but for objects? An algorithm which takes two objects and compares not whether they are similar or not (this is simple and already done), but rather how similar they are. How similar can be a percent from 0 to 100%, where 100% is an exact match and 0% is not similar at all, or it can be a number, like the https://en.wikipedia.org/wiki/Levenshtein_distance where 0 would be an exact match, and the number would be the "closeness", with no upper bound.
For example, if I have an object (javascript):
...ANSWER
Answered 2020-Mar-22 at 00:55If the objects are ultimately composed of serializable values (no class instances or functions), one option would be to stringify them and then use the same sort of "fuzzy search" algorithm on those strings:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install fuzzy-matcher
You can use fuzzy-matcher like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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