melchior-apparatus
various machine learning routines for node
various machine learning routines for node
General natural language (tokenizing, stemming (English, Russian, Spanish), classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.
An algorithm framework of probability and statistics for browser and Node.js environment.
Burak Kanber's implementation of a simple naive bayes classifier in javascript.
An implementation of Naive-Bayes Classification that implements simple modular training of the classifier.
General natural language (tokenizing, stemming (English, Russian, Spanish), part-of-speech tagging, sentiment analysis, classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.
Easy Data science (Machine learning) in JavaScript & Node (Including Bandits & Naive Bayes)
General natural language (tokenizing, stemming (English, Russian, Spanish), classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.
Naive Bayes Classifier method. Counting probability of word to classify of word.
get word counts / frequencies on a per-speaker or per-category basis, or as an aggregate
Simple statistics funcionality I needed in some of my Node apps for machine learning applications
Naive Bayes classifier for node.js
This project has been implemented to accomplish the module FC7P01, M.Sc. Computing Science and Information Systems of the M.Sc. in the area of Computing conducted by the London Metropolitan University.
collection of mathematical analysis and simulation tools
Implements naive bayes classifier
Text Classification with Naive Bayes implementation using Neo4j
TypeScript Naive Bayes Classifier for Node and Browser
Lib for classifer word
``` npm i b3-bnn ```
Bayes classifier