Metadata-Version: 2.1
Name: simscore
Version: 28.8.1
Summary: This software is being developed at the Madanapalle Institute of Technology & Science.
Home-page: https://github.com/sairamarava/MITS_AIBIRDS
Author: Sai Ram Reddy Shabeena Kamuluri Tejashri Kothapalli
Author-email: sairamrdya@gmail.com
License: GPLv3
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.5
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: scipy
Provides-Extra: dev
Requires-Dist: twine; extra == "dev"
Requires-Dist: setuptools; extra == "dev"
Requires-Dist: build; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx>=3.0.0; extra == "docs"
Provides-Extra: gpu
Requires-Dist: cupy; extra == "gpu"
Requires-Dist: pycuda; extra == "gpu"
Provides-Extra: spark
Requires-Dist: pyspark; extra == "spark"

# 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:

```bash
pip install mits_aibirds
