bace

A deck of Naive Bayes algorithms with sklearn-like API.

Algorithms

• Complement Naive Bayes
• Negation Naive Bayes
• Universal-set Naive Bayes
• Selective Naive Bayes

Installation

You can install this module directly from GitHub repo with command:

python3.7 -m pip install git+https://github.com/krzjoa/bace.git

or as a PyPI package

python3.7 -m pip install bace

Usage

bace API mimics scikit-learn API, so usage is very simple.

from bace import ComplementNB
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer

vectorizer = CountVectorizer()

# Train set
newsgroups_train = fetch_20newsgroups(subset='train', shuffle=True)
X_train = vectorizer.fit_transform(newsgroups_train.data)
y_train = newsgroups_train.target

# Test set
newsgroups_test = fetch_20newsgroups(subset='test', shuffle=True)
X_test = vectorizer.fit_transform(newsgroups_test.data)
y_test = newsgroups_test.target

# Score 
cnb = ComplementNB()
cnb.fit(X_train, y_train).accuracy_score(X_test, y_test)

Documentation

The full documentation is at http://bace.rtfd.org.