hypermapper | Black-box Optimizer based on Bayesian Optimization

 by   luinardi C++ Version: 2.3.0 License: MIT

kandi X-RAY | hypermapper Summary

kandi X-RAY | hypermapper Summary

hypermapper is a C++ library. hypermapper has no vulnerabilities, it has a Permissive License and it has low support. However hypermapper has 2 bugs. You can download it from GitHub.

Black-box Optimizer based on Bayesian Optimization

            kandi-support Support

              hypermapper has a low active ecosystem.
              It has 91 star(s) with 17 fork(s). There are 10 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 3 open issues and 16 have been closed. On average issues are closed in 34 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hypermapper is 2.3.0

            kandi-Quality Quality

              hypermapper has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 236 code smells.

            kandi-Security Security

              hypermapper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              hypermapper code analysis shows 0 unresolved vulnerabilities.
              There are 3 security hotspots that need review.

            kandi-License License

              hypermapper is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              hypermapper releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 8866 lines of code, 284 functions and 39 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            hypermapper Key Features

            Black-box Optimizer based on Bayesian Optimization

            hypermapper Examples and Code Snippets

            No Code Snippets are available at this moment for hypermapper.

            Community Discussions

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

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


            No vulnerabilities reported

            Install hypermapper

            We recommend installing HyperMapper with pip:. We recommend using pip version 18 or higher. Please see the wiki for the quick start guide and alternative installation.


            For any questions please contact Luigi Nardi: luigi.nardi at cs.lth.se.
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          • PyPI

            pip install hypermapper

          • CLONE
          • HTTPS


          • CLI

            gh repo clone luinardi/hypermapper

          • sshUrl


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