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"Natural" is a general natural language facility for nodejs. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported.

natural language porter lancaster stemmer bayes classifier phonetic metaphone inflector wordnet tf-idf logistic regression doublemetaphone double jaro-winkler levenshtein distance taggerbayes takes a document (piece of text), and tells you what category that document belongs to. Returns an instance of a Naive-Bayes Classifier.

naive bayes categorize classify classifierThe library's full documentation can be found here. Be sure to lint & pass the unit tests before submitting your pull request.

natural-language-processing machine-learning fuzzy-matching clustering record-linkage bayes bloom-filter canberra caverphone chebyshev cologne cosine classifier daitch-mokotoff dice fingerprint fuzzy hamming k-means jaccard jaro lancaster levenshtein lig metaphone mra ngrams nlp nysiis perceptron phonetic porter punkt schinke sorensen soundex stats tfidf tokenizer tversky vectorizer winklerA spell corrector that uses Bayes algorithm and BK (Burkhard-Keller) tree.

bayes db4o spell-checkA 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.

naive-bayes-classifier bayes machine-learning classifierA collection of low-level machine learning algorithms for node.js.This project is quite new and documentation will be on the way shortly. In the meantime you can check out the spec folder for examples of how to use the algorithms.

machine learning ml classifier clustering bayes k-means logistic regressionAn English (Porter2) stemming implementation in Elixir. The Stemmer.stem/1 function supports stemming a single word (String), a sentence (String) or a list of single words (List of Strings).

stemmer porter bayesThis is an adaptation of the Bayesian Bandit code from Probabilistic Programming and Bayesian Methods for Hackers, specifically d3bandits.js. The code has been rewritten to be more idiomatic and also usable as a browser script or npm package. Additionally, unit tests are included.

machine learning bayes bayesian inference multi-armed n-armed armed bandit reinforcement statisticsCopyright (c) 2009-2013, Lawrence S. Maccherone, Jr. Illuminating the forest AND the trees in your data.

charting chart infographics software-engineering date time olap business-intelligence bi statistics bayes bayesian bayesian-classifier histogramNaieve Bayesian Classifier in pure javascript. Classify.js is a Naieve Bayesian classifier for javascript applications. After training it will examples, it can classify new inputs into the groups you defined in the training set.

bayes classifier learning matrix( Development is current suspended ). Models are acted upon by the perceive or predict functions. These functions currently do the same thing, the wording is indicative of the nature of the result, and the action the model has taken on the data.

machine learning ml classifier clustering bayes k-means logistic regression perceptron neural netBayes 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.

bayes naive-bayes-classifiernode-bayes is a Naive Bayes classifier for Node.js. Built-in support for numeric attributes and Laplace smoothing. node-bayes © 2016+, Yos Riady. Released under the MIT License. Authored and maintained by Yos Riady with help from contributors (list).

machine learning node bayesThis is a simple Kotlin application that leverages Naive Bayes to categorize bank transactions. NOTE: Kotlin-Statistics now has this feature in an easy-to-use API.

bayes-classifier kotlin data-science bayesThis is a Naive Bayes classifier implementation written in JavaScript. I took out the relevant algorithms from the appratus and natural modules, and also the Porter stemmer algorithm. All credit goes to them.

naive bayes classifierNew developments will be done in extra branches and will be tested before merging in the developtment branch, so the developmet version should usually be usable (consider it in a beta stage), while feature branches should be considered alpha. Windows users: the package contains c++ code, so if you compile yourself, you need RTools installed.

cran mcmc smc bayes ecological-models systems-biology optimizationPercipio is a simple minimalistic JavaScript library for understanding & making decisions with data.

machine learning cross validation data science predictive analytics statistics stats math mathematics classification neighbours online bayes bandit naiveOptimization routines for incremental non-parametric and parametric solutions based on factor graphs and the Bayes (Junction) tree implemented in the Julia language (and JuliaPro). This package furthermore forms a cardinal piece of the Caesar.jl robotics toolkit, including 3D visualization and database interaction, which can serve as a base station for a robotic platform. A standalone Robot Motion Estimate package is also available.

factor-graphs bayes bayes-tree inference slam robotics optimization sum-product belief-propagation isam nonparametric parametric multi-modal julia-language state-estimation multi-hypothesis caesar algorithm bayes-networknbayes is a lightweight Naive Bayes Classifier written in vanilla JavaScript. It classifies a document (arbitrary piece of text) among the classes (arbitrarily named categories) it has been trained with before. This is all based on simple mathematics. As an example, you could use nbayes to answer the following questions. nbayes offers a simple and straightforward API, keeping it below 3kb (minified). It is a rewrite of ttezel/bayes and thoroughly tested.

bayes natural-language-processing nlp naive classifier classify categorizer categorize nlu
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