cmaes | Python library for CMA Evolution Strategy | Machine Learning library

 by   CyberAgent Python Version: 0.9.0 License: MIT

kandi X-RAY | cmaes Summary

kandi X-RAY | cmaes Summary

cmaes is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. cmaes has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cmaes' or download it from GitHub, PyPI.

Python library for CMA Evolution Strategy.
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              cmaes has a low active ecosystem.
              It has 107 star(s) with 30 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 14 have been closed. On average issues are closed in 14 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of cmaes is 0.9.0

            kandi-Quality Quality

              cmaes has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              cmaes 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

              cmaes releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

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            cmaes Key Features

            No Key Features are available at this moment for cmaes.

            cmaes Examples and Code Snippets

            No Code Snippets are available at this moment for cmaes.

            Community Discussions

            Trending Discussions on cmaes

            QUESTION

            Compile libcmaes with mingw
            Asked 2020-Nov-19 at 22:18

            I'm trying to make a windows .exe file with Ubuntu 20.04.1 (VM on Windows host).

            The source code includes libcmaes, so I can compile the follwing code with sudo x86_64-w64-mingw32-g++ -fopenmp -I/usr/include/eigen3 -I/usr/include/libcmaes -L/usr/lib -std=c++11 -o output.exe source.cpp -lcmaes and the generated files worked fine on ubuntu. But I couldn't compile it when g++ is replaced x86_64-w64-mingw32-g++ and terminal returned the error.

            I commented out a little bit from the libcmaes sample code and found that it is probably not linked. Here is the code and the error content.

            Code

            ...

            ANSWER

            Answered 2020-Nov-19 at 22:18

            You're crosscompiling on Linux for Windows, so -L/usr/lib is wrong when using MinGW, as it points to the Ubuntu libraries, not the Windows libraries.

            Instead you should make sure -I and -L point to your Windows build of libsmaes.

            Source https://stackoverflow.com/questions/64914487

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

            Vulnerabilities

            No vulnerabilities reported

            Install cmaes

            Supported Python versions are 3.6 or later. Or you can install via conda-forge.

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            Install
          • PyPI

            pip install cmaes

          • CLONE
          • HTTPS

            https://github.com/CyberAgent/cmaes.git

          • CLI

            gh repo clone CyberAgent/cmaes

          • sshUrl

            git@github.com:CyberAgent/cmaes.git

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