bace

Python version PyPI CI Documentation Status Licence

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:

or as a PyPI package

Usage

bace 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

# 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)

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