cocopf | An Algorithm Portfolio BBOB Platform

by pasky Python Version: Current License: Non-SPDX

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

kandi X-RAY | cocopf Summary

cocopf is a Python library. cocopf has no bugs, it has no vulnerabilities and it has low support. However cocopf build file is not available and it has a Non-SPDX License. You can download it from GitHub.

COCOpf is a Python-based platform for research and development of hyperheuristics maintaining portfolios of optimization algorithms within the excellent [COCO benchmarking framework for BBOB workshops] Algorithm portfolios represent an approach where multiple heuristic optimization algorithms, each most suitable for a different class of problems, are combined together in a single general solver that can choose the best algorithm to run for each problem instance on the input. Using COCOpf, you can immediately start experimenting with ways to combine multiple heuristic black-box optimization algorithms to achieve the best combined performance on the COCO/BBOB benchmark function set.

Support

Quality

Security

License

Reuse

Support

cocopf has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of cocopf is current.

Quality

cocopf has 0 bugs and 0 code smells.

Security

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

cocopf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cocopf has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

cocopf has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Minimize the f
Perform one step of the minimizer
End iteration
Update the credit method
Plot fval by budget
Return the style of aickline
Generator for plotting plots
Return the label of the function
Plot evals by baseline
Return label for a label
Calculate the maximum value of a dimension
Rank plot by budget
Calculate the ranking for a given function
Run the minimization method
Execute one iteration
Plot evals per target
Add a new point

Get all kandi verified functions for this library.

cocopf Key Features

No Key Features are available at this moment for cocopf.

cocopf Examples and Code Snippets

No Code Snippets are available at this moment for cocopf.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install cocopf

First, get and unpack the latest bbob COCO distribution, e.g.:. Change to the ``python/`` subdirectory and ``git clone https://github.com/pasky/cocopf`` here - that should create a ``python/cocopf/`` directory.

Support

There is some inline documentation, but it’s still a work in progress. However, the code is short and commented. You can use the examples as templates for your own experiments. Contributions are welcome!.

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