Code Monkey home page Code Monkey logo

markov's Introduction

markov

GoDoc

Simple library using markov chains for n-gram modeling.

This library uses an in memory map storing the current state as key and the candidate states with the associated probability as value.

Main features are:

  • Flexible ngram processing (support starting at 2-grams)
  • Safe for concurrent use
  • Easy text processing support via io.Reader interface

Usage

package main

import (
	"fmt"
	"strings"

	"github.com/eminano/markov"
)

func main() {
	// Create a chain for trigrams (3-grams)
	chain, _ := markov.NewNGramChain(3)

	// Parse text to process
	text := strings.NewReader(`
	I am batman. 
	I am groot.
	I am your father`)

	chain.ProcessText(text)

	// generate random text based on input
	output := chain.GenerateRandomText(10)

	// get a random candidate for the prefix
	candidate := chain.GetCandidate("I am")

	// get the probability of a given candidate for a prefix
	probability := chain.CandidateProbability("I am", "batman.")
}

markov's People

Contributors

eminano avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.