pcy-algo

Name	pcy-algo JSON
Version	0.0.2 JSON
	download
home_page	None
Summary	PCY implementation in association rule mining
upload_time	2024-04-10 01:18:16
maintainer	None
docs_url	None
author	Murali B
requires_python	>=3.6
license	None
keywords	association rule mining apriori algorithm data mining
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # PCY implementation 

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## Example

# test.py
```
from pcy_algo import pcy_algo
num_transactions = pd.read_csv("path/to/dataset")
hash_func_size = 40 
support = 500 # 5 percentage
confidence = 30
```
# num_transactions containes baskets with items encoded as integers
- num_transactions = [[12,1,2,3,4],[2,3,49,45,12],[12,98,45,22]]
# unique_items contains distinct elements.
- unique_items = (12,1,2,3,4,49,45,98,22)
# create object
```
basket = pcy_algo(num_transactions,unique_items,hash_func_size,support,confidence)
result = basket.mine_data()
```





            

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