Giter Club home page Giter Club logo

mmmodel's Introduction

Match making algorithms modeling

Modeling a set of the matchmaking alogirthms, providing statistics and data related to simulation.

Right now supporting:

  • Random choise matchamaking
  • FIFO matchmaking
  • Skill level search matchmaking (greedy algorithm)
  • Real skill level generation (Uniform and Normal distribution)
  • Matchmaking skill level update (Elo)

Usage and parameters

  1. Run executable, the report would be generated in reports folder
  2. Use view.html in the main project folder to load\analyse generated report
  3. Check the executable help (-h flag) for the list of possible options
  4. ???
  5. PROFIT!!!

Command line arguments

USAGE:
    mmmodel [FLAGS] [OPTIONS]

FLAGS:
    -h, --help              Prints help information
        --use_real_skill    Always use real skill level as skill level of the user
    -V, --version           Prints version information

OPTIONS:
    -a, --alg <algorithm>                                Algorithm type [default: rnd]  [values: fifo, rnd, skill]
        --continuous_play_prob <continuous_play_prob>
            The probability that after a game user will join the queue [default: 0.0] 
        --max_game_length <max_game_length>              The amount of time before user reenter queue [default: 300] 
    -n <name>                                            Name of the simulation
        --prefill_factor <prefill_factor>
            Amount of users to be added to the team on the first run of the search algorithm [default: 0.0] 
        --queue_factor <queue_factor>                    Queue overloading factor [default: 1.0] 
        --rmax <real_skill_max>                          Maximum value of the skill level [default: 2200] 
        --rmin <real_skill_min>                          Minimum value of the skill level [default: 800] 
    -d, --search_delay <search_delay>                    Delay between searches in ticks [default: 10] 
    -s <skill>                                           Default skill level assigned to the user [default: 1500] 
        --team_size <team_size>                          The size of the team [default: 5] 
    -t <time>                                            A period of time to simulate in seconds [default: 86400] 
    -u <users_at_start>                                  Amount of users to be generated [default: 500] 
    -g <users_to_gen>                                    Amount of users to be generated [default: 500] 

mmmodel's People

Contributors

batanick avatar

Watchers

James Cloos avatar  avatar

mmmodel's Issues

Reports: list of stuff to do

List of data to show:

  • Search properties
  • Avg/Min/Max wait time
  • Avg/Min/Max skill level delta in game
  • Avg/Min/Max winning chances delta
  • Total Games created

Min list of diagrams for GUI implementation:

  • Users in queue / time
  • Games created / time
  • Avg time in queue sum
  • Max skill level delta in games
  • Real skill level / Approx skill level delta

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.