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String distance metrics based on Levenshtein and Qwerty Matrix Distance
Home Page: https://pypi.org/project/QLev/
License: MIT License
qlev's Introduction
Hey there, I'm Alysson Amaral!
![GIF](https://camo.githubusercontent.com/923eff39a65259f6ddfaafba30b3e8421864325b57d47b1196d9ea5e43a6f9f0/68747470733a2f2f692e70696e696d672e636f6d2f6f726967696e616c732f65342f32362f37302f65343236373032656466383734623138316163656431653266613563366364652e676966)
About Me!
- ๐จ๐ฝโ๐ป Iโm a Data Scientist and a Software Engineer;
- ๐ฑ Iโm currently exploring new ways to improve the machine learning methods for wildfire prediction;
- ๐ค My interest lies in artificial intelligence and critical systems;
- ๐ฌ Ask me about anything, I would love to answer!
- ๐ซ Email me at [email protected].
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qlev's Issues
At the normalization with Euler's number there is some cases that the return is greater than 1, this need to be treated