Cadmium
StringDistances.jl
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| Cadmium | StringDistances.jl | |
|---|---|---|
| 0 | 2 | |
| 202 | 134 | |
| 0.0% | - | |
| 0.0 | 2.3 | |
| about 2 years ago | 8 days ago | |
| Crystal | Julia | |
| MIT License | GNU General Public License v3.0 or later |
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StringDistances.jl
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How to do a fuzzy join of two datafrmaes in Julia ?
You'll need: * StringDistances.jl to calculate the distance between the strings. * FlexiJoins.jl to join the dataframes based on a predicate. * A custom function that you write that takes two strings as arguments and returns a boolean for if the strings are "close enough" based on their distance.
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Getting the difference of two strings
If you need to know exactly what the diff is, you might want to use something like github.com/google/diff-match-patch. Otherwise, a simple Levenshtein distance would suffice. This library seems to have a whole bunch of string distances implemented. Hope this helps!
What are some alternatives?
ai4cr - Artificial Intelligence for Crystal (based on https://github.com/SergioFierens/ai4r)
diff-match-patch - Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
shainet - SHAInet - a pure Crystal machine learning library
crystal-fann - FANN (Fast Artifical Neural Network) binding in Crystal
grey_matter - Grey Matter is a basic artificial neural network library for Crystal.
mxnet.cr - MXNet (AI/ML) bindings for the Crystal language.
marionette - Selenium alternative for Crystal. Browser manipulation without the Java overhead.
front_matter.cr - Separates a files front matter from its content
crystal-build-cr - a plugin for crenv which provides an installation command
Quickenshtein - Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support
gcf.cr - gcf.cr provides serverless execution and deployment of crystal language code in Google Cloud Functions
await_async - Provide await and async methods to Crystal Lang