Logistic Packages

various machine learning routines for node

Javascript Implementation of Statistical R standalone library rnmath

A Collection of Machine Learning algorithms built for use with NodeJS

For private use.

sails hook for job-queue with kue

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.

A Node wrapper for Roadrunnr logistic serrvices

General natural language (tokenizing, stemming (English, Russian, Spanish), classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.

Package that allows you to easily interact with the Everest TMS.

Create an iterator which evaluates the logit function for each iterated value.

Create an iterator which evaluates the standard logistic function for each iterated value.

Logistic distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a logistic distribution.

Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.

Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.

Standard logistic function.

Incrementally perform binary classification using stochastic gradient descent (SGD).

A logistic regression package designed to mimic the functionality found in modern calculators.

Create an array containing pseudorandom numbers drawn from a logistic distribution.