Metadata-Version: 2.1
Name: FIMProject
Version: 0.0.6
Summary: Frequent Itemset Mining and Frequent Sequence Mining Algorithms package for ARM
Home-page: https://github.com/fatihsen20/Frequent-Mining-Algorithms
Author: Fatih Sen
Author-email: fatih.sn2000@gmail.com
Keywords: FIM,Frequent Itemset Mining,Frequent Sequence Mining,Association Rule Mining,ARM
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: numpy
Provides-Extra: pandas
License-File: LICENSE

 # How to Install
```shell
pip install FIMProject
```
# How to Use It
```python
from FIM import apriori, association_rules

freq_items = apriori(df, min_support=0.6, show_colnames=True)
rules = association_rules(freq_items, metric="confidince", min_threshold=0.7)

```

# What is df?  

<p>
df is a pandas dataframe. It is a table of transactions. Each row is a transaction and each column is an item. The value of each cell is the number of items in the transaction.
</p>
