Slot Machine Github Javascript Library

• Slot Machine Github Javascript Library Tutorial
• Github Javascript Project
• Github Pages Javascript
• Awesome Javascript Github
• Slot Machine Github Javascript Library Download
• Github Javascript Examples
• Minecraft Javascript Github

GitHub repositories created and contributed to by Daniel K. BDD/TDD assertion library for node.js and the browser. EzSlots is a trivially simple JQuery 'Slot Machine Construction Kit'. Its only dependencies are jQuery and the jQuery Easing library. It can be allowed to run randomly or to go to a pre-specified 'winning' combo, can have any number of wheels, and use any set of symbols (HTML characters, images, etc). A passonate Computer Games Programming student at Staffordshire University. I specialise in game mechanics and I love to make games more than playing them. To attain my personal goal of having my name in the credits of a triple A titled game, I intend to use my extensive range of technical skills and experiences within a suitably challenging role and an establishment that can nurture my.

Released:

A multi-armed bandit library for Python

Project description

A multi-armed bandit library for Python

Slots is intended to be a basic, very easy-to-use multi-armed bandit library for Python.

Author

Roy Keyes -- roy.coding@gmail

License: MIT

See LICENSE.txt

Introduction

slots is a Python library designed to allow the user to explore and use simple multi-armed bandit (MAB) strategies. The basic concept behind the multi-armed bandit problem is that you are faced with n choices (e.g. slot machines, medicines, or UI/UX designs), each of which results in a 'win' with some unknown probability. Multi-armed bandit strategies are designed to let you quickly determine which choice will yield the highest result over time, while reducing the number of tests (or arm pulls) needed to make this determination. Typically, MAB strategies attempt to strike a balance between 'exploration', testing different arms in order to find the best, and 'exploitation', using the best known choice. There are many variation of this problem, see here for more background.

slots provides a hopefully simple API to allow you to explore, test, and use these strategies. Basic usage looks like this:

Using slots to determine the best of 3 variations on a live website.

Make the first choice randomly, record responses, and input reward 2 was chosen. Run online trial (input most recent result) until test criteria is met.

The response of mab.online_trial() is a dict of the form:

Where:

Slot Machine Github Javascript Library Tutorial

• If the criterion is met, new_trial = False.
• choice is the current choice of arm to try.
• best is the current best estimate of the highest payout arm.

To test strategies on arms with pre-set probabilities:

To inspect the results and compare the estimated win probabilities versus the true win probabilities:

By default, slots uses the epsilon greedy strategy. Besides epsilon greedy, the softmax, upper confidence bound (UCB1), and Bayesian bandit strategies are also implemented.

Regret analysis

A common metric used to evaluate the relative success of a MAB strategy is 'regret'. This reflects that fraction of payouts (wins) that have been lost by using the sequence of pulls versus the currently best known arm. The current regret value can be calculated by calling the mab.regret() method.

For example, the regret curves for several different MAB strategies can be generated as follows:

API documentation

For documentation on the slots API, see slots-docs.md.

Todo list

• More MAB strategies
• Argument to save regret values after each trial in an array.
• TESTS!

Contributing

I welcome contributions, though the pace of development is highly variable. Please file issues and submit pull requests as makes sense.

The current development environment uses:

• pytest >= 5.3 (5.3.2)
• black >= 19.1 (19.10b0)
• mypy = 0.761

You can pip install these easily by including dev-requirements.txt.

For mypy config, see mypy.ini. For black config, see pyproject.toml.

Github Javascript Project

Release historyRelease notifications | RSS feed

0.4.0

0.3.1

Github Pages Javascript

0.3.0

0.2.0

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Awesome Javascript Github

Hashes for slots-0.4.0-py3-none-any.whl

Slot Machine Github Javascript Library Download

Github Javascript Examples

Hashes for slots-0.4.0.tar.gz

Minecraft Javascript Github