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arules-0.0.0
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مشاهده بیشترتوضیحات
multi-purpose association rules analysis
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | arules-0.0.0 |
| نام | arules |
| نسخه کتابخانه | 0.0.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Abir Koren |
| ایمیل نویسنده | abir@wnwd.com |
| آدرس صفحه اصلی | https://github.com/windward-ltd/arules |
| آدرس اینترنتی | https://pypi.org/project/arules/ |
| مجوز | MIT |
# Arules - multi-purpose association rules
Arules is an open-source python package for association rules creation. It allows creation of association rules over
tabular data (pandas dataframe). While standard association rules require transactional data, arules considers
association rules as an analysis utility for categorical data. The Package also supports association rules over
continuous data by application of binning methods (some basic methods are included in the package but users can define
their own binning functions).
## Installation
Python 3.6+ | Linux, Mac OS X, Windows
```sh
pip install -U arules
```
## Getting Started
Let's create some association rules over some tabular data
```python
import pandas as pd
anes96 = pd.read_csv("anes96.csv")
anes96.head()
| popul | TVnews | selfLR | ClinLR | DoleLR | PID | age | educ | income | vote | logpopul |
|-------|--------|------------------------|-------------------|-----------------------|------------------|------|----------------------|--------------------------|---------|--------------------|
| 0.0 | 7.0 | Extremely Conservative | Extremely liberal | Conservative | Strong Republica | 36.0 | High school graduate | None or less than $2,999 | Dole | -2.302585092994045 |
| 190.0 | 1.0 | Slightly liberal | Slightly liberal | Slightly conservative | Weak Democrat | 20.0 | Some college | None or less than $2,999 | Clinton | 5.247550249494384 |
| 31.0 | 7.0 | Liberal | Liberal | Conservative | Weak Democrat | 24.0 | Master's degree | None or less than $2,999 | Clinton | 3.4372078191851885 |
| 83.0 | 4.0 | Slightly liberal | Moderate | Slightly conservative | Weak Democrat | 28.0 | Master's degree | None or less than $2,999 | Clinton | 4.4200447018614035 |
| 640.0 | 7.0 | Slightly conservative | Conservative | Moderate | Strong Democrat | 68.0 | Master's degree | None or less than $2,999 | Clinton | 6.461624414147957 |
```
Note that the table contains both categorical and continuous fields (which can be handled using a selected binning
method). Now we use arules to extract association rules according to a specification of interest
```python
import arules as ar
from arules.utils import five_quantile_based_bins, top_bottom_10, top_5_variant_variables
rules, supp_dict = ar.create_association_rules(anes96,max_cols=2,binning_method=five_quantile_based_bins)
```
After the calculation is done we can present rules of selection for analysis purposes
```python
ar.present_rules_per_consequent(rules,consequent={'vote':'Clinton'},
selection_function=top_5_variant_variables, drop_dups=True,
plot=True)
```
As we set the consequent to be: {'vote':'Clinton'}, the presented rules reflect the likelihood of an individual to vote
for clinton given the respective feature. For example, if we consider the income variable above, a person with an income
of 3,000-4,999 (which populates, according to the barchart, 1% of the sample) is approximately 1.6 times more likely
(w.r.t. the average) to vote for Clinton, while a person with an income of 90,000-104,999 (which populates, according
to the barchart, 4% of the sample) is approximately 1.4 times less likely to vote for Clinton.
## Contributing
Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
## Versioning
We use [SemVer](http://semver.org/) for versioning. For the versions available.
## Authors
* **Abir Koren** - *Initial work* - [WindWard](https://github.com/windward-ltd)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
نیازمندی
| مقدار | نام |
|---|---|
| - | pandas |
| - | numpy |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl arules-0.0.0:
pip install arules-0.0.0.whl
نصب پکیج tar.gz arules-0.0.0:
pip install arules-0.0.0.tar.gz