This software is being developed at the Madanapalle Institute of Technology & Science.
Project description
MITS_AIBIRDS
MITS_AIBIRDS is a repository for SIMS (Similarity Score)Python package that provides easy-to-use functions for calculating various similarity scores, including Jaccard, Overlap, and Hamming Distance. These scores can be useful in a wide range of applications, such as text analysis, bioinformatics, and data science.
Features
- Jaccard Similarity: Measures the similarity between two sets by dividing the size of the intersection by the size of the union.
- Overlap Similarity: Calculates the overlap between two sets by dividing the size of the intersection by the size of the smaller set.
- Hamming Distance: Measures the number of positions at which the corresponding elements are different between two strings of equal length.
Installation
You can install the package using pip:
pip install mits_aibirds
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file simscore-28.8.1.tar.gz.
File metadata
- Download URL: simscore-28.8.1.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d563bdfe227680e20589f84388063c18ca98cada78bbed3a879b880e243ae6b8
|
|
| MD5 |
44d3f4c6a1172bdb0a32883141f6811e
|
|
| BLAKE2b-256 |
72ad4b7784fc9e36b0a92022f9ae5764cf12d01ea70d77364272620c4380c4ca
|
File details
Details for the file simscore-28.8.1-py3-none-any.whl.
File metadata
- Download URL: simscore-28.8.1-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d4d604d26707f712ed6edad5dda85a88f5b9fb9f28ea5421d3daf2ae3b96552f
|
|
| MD5 |
bcc079e6a8e460d2aea159e3252a03e7
|
|
| BLAKE2b-256 |
f3b181f14bc82675cc0fb0af4c8fef9b8a4ab657e327ca8ae8983bc03d61123f
|