AI-course-project | 4 projects : GobangAI , Capacitated Arc Routing Problem
kandi X-RAY | AI-course-project Summary
kandi X-RAY | AI-course-project Summary
AI-course-project is a Python library. AI-course-project has no bugs, it has no vulnerabilities and it has low support. However AI-course-project build file is not available. You can download it from GitHub.
4 projects: GobangAI, Capacitated Arc Routing Problem, Influence Maximization Problem and SVM optimization.
4 projects: GobangAI, Capacitated Arc Routing Problem, Influence Maximization Problem and SVM optimization.
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Quality
Security
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Support
AI-course-project has a low active ecosystem.
It has 9 star(s) with 3 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
AI-course-project has no issues reported. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of AI-course-project is current.
Quality
AI-course-project has no bugs reported.
Security
AI-course-project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
AI-course-project 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.
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AI-course-project releases are not available. You will need to build from source code and install.
AI-course-project has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed AI-course-project and discovered the below as its top functions. This is intended to give you an instant insight into AI-course-project implemented functionality, and help decide if they suit your requirements.
- Performs an alphabet search .
- Swaps the solution
- Second order step .
- Checking each line in the record .
- Compute the celf algorithm
- Run the CARP algorithm .
- check code
- Return the number of nodes in the tree .
- Generate a solution from routes .
- Fast search method .
Get all kandi verified functions for this library.
AI-course-project Key Features
No Key Features are available at this moment for AI-course-project.
AI-course-project Examples and Code Snippets
No Code Snippets are available at this moment for AI-course-project.
Community Discussions
No Community Discussions are available at this moment for AI-course-project.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install AI-course-project
You can download it from GitHub.
You can use AI-course-project 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.
You can use AI-course-project 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
Optimize SVM parameters using Sequential Minimal Optimization (SMO)
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