Results for ga-functions

A Vercel serverless functions wrapper for [@google-analytics/data](https://github.com/googleapis/nodejs-analytics-data)

Microsoft Azure Functions NodeJS Framework

React Google Analytics Module

Durable Functions library for Node.js Azure Functions

React Google Analytics 4

Understand how your tool is being used by anonymously reporting usage metrics to Google Analytics or Yandex.Metrica

Attaches GA cookie data to Snowplow events

textlint rule plugin to check duplicated conjunctive particle `ga` in a sentence.

An HTTP/REST based Redis client built on top of Upstash REST API.

TypeScript definitions for ga-gtag

Target browsers tailored to your audience

Generate browserslist-stats.json using Browserslist-GA without logging into a Google Account

Does this JS environment support the `name` property on functions?

ES module for the Google Analytics Global Site Tag.

[](https://npm.im/react-router-ga) [](https://npm.im/react-router-ga) [](https://ope

Helper function to replace certain member expressions with function calls

Compile ES2015 arrow functions to ES5

Turn async generator functions into ES2015 generators

Babel plugin to ensure function declarations at the block level are block scoped

An HTTP/REST based Vector DB client built on top of Upstash REST API.

[](https://www.npmjs.com/package/@upstash/ratelimit) [](https://github.com/upstash/ratelimit/actions/workf

Official JavaScript SDK for GameAnalytics. GameAnalytics is a free analytics platform that helps game developers understand their players' behaviour by delivering relevant insights.

data structures with idiomatic JavaScript collection interfaces

JS SDK to interact with Supabase Functions.

== DESCRIPTION: Charlie is a library for genetic algorithms (GA) and genetic programming (GP). == FEATURES: - Quickly develop GAs by combining several parts (genotype, selection, crossover, mutation) provided by the library. - Sensible defaults are provided with any genotype, so often you only need to define a fitness function. - Easily replace any of the parts by your own code. - Test different strategies in GA, and generate reports comparing them. Example report: http://charlie.rubyforge.org/example_report.html == INSTALL: * sudo gem install charlie == EXAMPLES: This example solves a TSP problem (also quiz #142): N=5 CITIES = (0...N).map{|i| (0...N).map{|j| [i,j] } }.inject{|a,b|a+b} class TSP < PermutationGenotype(CITIES.size) def fitness d=0 (genes + [genes[0]]).each_cons(2){|a,b| a,b=CITIES[a],CITIES[b] d += Math.sqrt( (a[0]-b[0])**2 + (a[1]-b[1])**2 ) } -d # lower distance -> higher fitness. end use EdgeRecombinationCrossover, InversionMutator end Population.new(TSP,20).evolve_on_console(50) This example finds a polynomial which approximates cos(x) class Cos < TreeGenotype([proc{3*rand-1.5},:x], [:-@], [:+,:*,:-]) def fitness -[0,0.33,0.66,1].map{|x| (eval_genes(:x=>x) - Math.cos(x)).abs }.max end use TournamentSelection(4) end Population.new(Cos).evolve_on_console(500)