GameLearning | Sample game for trainning your machine learning skills

by juanbenitopr Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | GameLearning Summary

GameLearning is a Python library. GameLearning has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Game Learning is a project focus on trainning your machine learning concepts. it has a few modules which implements a simple game logic, and other module where you use machine learning estimator to try predict the next values.

Support

Quality

Security

License

Reuse

Support

GameLearning has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

GameLearning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GameLearning is current.

Quality

GameLearning has 0 bugs and 0 code smells.

Security

GameLearning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

GameLearning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GameLearning does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

GameLearning releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 181 lines of code, 21 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed GameLearning and discovered the below as its top functions. This is intended to give you an instant insight into GameLearning implemented functionality, and help decide if they suit your requirements.

Loads the model .
Creates the list of labels
Go to the next round .
Restart the game .
Initialize variables for GUI .
Create buttons .
Gets a random amount of awards .
Set variables for gui
Returns the best round stop

Get all kandi verified functions for this library.

GameLearning Key Features

No Key Features are available at this moment for GameLearning.

GameLearning Examples and Code Snippets

No Code Snippets are available at this moment for GameLearning.

Community Discussions

No Community Discussions are available at this moment for GameLearning.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install GameLearning

You can download it from GitHub.
You can use GameLearning like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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