Classification by Voting Feature Intervals in Python
VFI - Voting Feature Intervals is a supervised classification model similar to Naive Bayes. Constructs intervals around each class for each feature. Class counts are recorded for each interval on each feature and the classification is performed using a voting scheme.
Based on the paper: G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.01.
Documentation is available on ReadTheDocs at http://vfi.readthedocs.io/en/latest/
How to use VFI
The vfi package inherits from sklearn classes, and thus drops in neatly next to other sklearn classifiers with an identical calling API. Similarly it supports input in a variety of formats: an array (or pandas dataframe) of shape (num_samples x num_features).
import vfi from sklearn.datasets import load_iris data, target = load_iris(return_X_y=True) model = vfi.VFI() model.fit(data, target)
PyPI install, presuming you have an up to date pip:
pip install vfi
If pip is having difficulties pulling the dependencies then we’d suggest to first upgrade pip to at least version 10 and try again:
pip install --upgrade pip pip install vfi
Otherwise install the dependencies manually using anaconda followed by pulling vfi from pip:
conda install numpy scipy conda install scikit-learn pip install vfi
For a manual install of the latest code directly from GitHub:
pip install --upgrade git+https://github.com/chkoar/vfi.git#egg=vfi
Alternatively download the package, install requirements, and manually run the installer:
wget https://github.com/chkoar/vfi/archive/master.zip unzip master.zip rm master.zip cd vfi-master pip install -r requirements.txt python setup.py install
Running the Tests
The package tests can be run after installation using the command:
pytest vfi --cov
The vfi package supports only Python 3.
We welcome contributions in any form! Assistance with documentation, particularly expanding tutorials, is always welcome. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch.
The vfi package is MIT licensed. Enjoy.
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