https://github.com/ricky9667/apriori-practice
Apriori algorithm practice.
https://github.com/ricky9667/apriori-practice
apriori-algorithm python
Last synced: 5 days ago
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Apriori algorithm practice.
- Host: GitHub
- URL: https://github.com/ricky9667/apriori-practice
- Owner: ricky9667
- Created: 2021-11-13T14:10:18.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2021-11-15T07:13:58.000Z (over 3 years ago)
- Last Synced: 2025-06-03T20:15:56.860Z (15 days ago)
- Topics: apriori-algorithm, python
- Language: Python
- Homepage:
- Size: 27.3 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# Apriori Practice
Practice Apriori algorithm and test with some datasets.
## How to run
### Get Python
This algorithm requires Python, first you have to install [here](https://www.python.org/downloads/) for Windows or run the following command for Linux/macOS:
```shell=
# macOS
brew install python3
# Linux
apt install python3
```
> Note: macOS is required to install [Homebrew](https://brew.sh) before running the command above
### Run Apriori with raw Python sets
You can add datasets written in Python, the dataset should be a Python list `[]` with sets contains inside.
For example:
```python=
dataset1 = [{1, 3, 4},
{2, 3, 5},
{1, 2, 3, 5},
{2, 5}]
```
> You can check out more examples in `./datasets/sample.py`
Next, try Apriori by running the following code:
```python=
from src.apriori import find_frequent_itemsets
from datasets.sample import dataset1, dataset2, dataset3, dataset4
def main():
print("dataset1 = " + str(dataset1))
frequent_itemsets = find_frequent_itemsets(dataset=dataset1, min_support=2)
for frequent_itemset in frequent_itemsets:
print(frequent_itemset)
if __name__ == '__main__':
main()
```
### Run Apriori by importing datasets from CSV file
You can import datasets from csv files, you can check out the sample csv file `./datasets/my_movies.csv`.
You should import the converter that converts the csv file to raw dataset like the following code:
```python=
from src.apriori import find_frequent_itemsets
from src.converter import generate_dataset_from_csv
def main():
dataset = generate_dataset_from_csv('datasets/my_movies.csv')
frequent_itemsets = find_frequent_itemsets(dataset=dataset, min_support=2)
for frequent_itemset in frequent_itemsets:
print(frequent_itemset)
if __name__ == '__main__':
main()
```