Displaying 1 to 9 from 9 results

simple_bayes - A Naive Bayes machine learning implementation in Elixir.

  •    Elixir

A Naive Bayes machine learning implementation in Elixir. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features.

lapis-bayes - Naive Bayes classifier for use in Lua

  •    Lua

lapis-bayes is a Naive Bayes classifier for use in Lua. It can be used to classify text into any category that has been trained for ahead of time. It's built on top of Lapis, but can be used as a standalone library as well. It requires PostgreSQL to store and parse training data.

Bayes - Naive Bayes Classifier in Swift for Mac and iOS

  •    Swift

Bayes is a Naive Bayes Classifier for iOS and Mac platforms. Bayes is implemented in Swift and takes advantage of generics to enable any Hashable, Equatable type of your choosing or creation for use as category or feature.

machine_learning - machine learning applied to NLP without deep learning

  •    Python

The purpose of this respository is use machine learning to solve NLP problem without involving deep learning releted technology. So only traditional machine learning methods will be used here. It will include Naive Bayes, Decision Tree, Random Forest,GBDT and so on. We will first use Naive Bayes to do binary classification, which is to classify a sentence releted to be a 'theft' or not.

GaussianNB - Gaussian Naive Bayes (GaussianNB) classifier

  •    Python

Simple Gaussian Naive Bayes classifier implementation. It also implements 5-fold cross-validation. Compared performance with Zero-R algorithm.