JSPM

various machine learning routines for node

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

Javascript Implementation of Statistical R standalone library rnmath

Logistic distributed pseudorandom numbers.

Logistic distribution cumulative distribution function (CDF).

Standard logistic function.

Logistic distribution quantile function.

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

Logistic distribution standard deviation.

Logistic distribution expected value.

Logistic distribution kurtosis.

Logistic distribution median.

For private use.

Logit function.

Logistic distribution mode.

Logistic distribution logarithm of cumulative distribution function (CDF).

Logistic distribution logarithm of probability density function (PDF).

Logistic distribution entropy.

Logistic distribution moment-generating function (MGF).

Logistic distribution skewness.

Logistic distribution variance.

Logistic distribution probability density function (PDF).

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

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

sails hook for job-queue with kue

Logistic distribution.

Logistic distribution constructor.

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

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

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

A Collection of Machine Learning algorithms built for use with NodeJS

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

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

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

various machine learning routines for node

A Node wrapper for Roadrunnr logistic serrvices

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

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