Metadata-Version: 2.1
Name: measurenary
Version: 1.0.4
Summary: A package to calculate and find the best similarity between binary data features
Home-page: https://measurenary.readthedocs.io/en/latest/
Author: Muhammad Dwiki Ramdhani
Author-email: Muhammad Dwiki Ramdhani <mdramdha@gmail.com>
Project-URL: Homepage, https://github.com/dwikiramdhani53/measurenary
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

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# Measurenary

Measurenary is a Python library for computing your suitable similarity matrix from your binary data.

### Installation
To use Measurenary, first install it using pip:
```console
   (.venv) $ pip install measurenary
```
### Get started
To get started, you can import the library and use the `AgglomerativeBestMeasure` or `PairBestMeasure` class:
```python
   import measurenary

   # Instatntiate a Measurenary object
   aggbs = measurenary.AgglomerativeBestMeasure()
   
   # Call the fit function
   aggbs.fit(X)

   # Print out the result
   print(aggbs.get_result())
```
