pyEA | MOEA implemented in Python

by danathughes Python Version: Current License: No License

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

kandi X-RAY | pyEA Summary

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

MOEA implemented in Python

Support

Quality

Security

License

Reuse

Support

pyEA has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of pyEA is current.

Quality

pyEA has 0 bugs and 0 code smells.

Security

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

pyEA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyEA 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

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

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

Mutate the stride
Return the minimum input dimension for this gene
The output dimension
Train the model
Train model
Run the evaluation loop
Create genotype generator
Modified Poisson distribution
Calculate the classification PDF for each target
Return a dict representation of the feed
Mutates the num_kernels
Evaluate an individual
Convert a batch of labels to one
Creates a function that returns a FullyConnectedGene generator
Calculate accuracy
Computes the cost of the objective function
Convert images to images
Mutate the size
Mutate the pooling size
Mutate the kernel shape
Mutate pooling
Create a genotype genotype genotype gene
Applies the given list of individuals

Get all kandi verified functions for this library.

pyEA Key Features

No Key Features are available at this moment for pyEA.

pyEA Examples and Code Snippets

No Code Snippets are available at this moment for pyEA.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pyEA

You can download it from GitHub.
You can use pyEA 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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