defiNETti | performing Bayesian inference

 by   popgenmethods Python Version: v1.0 License: No License

kandi X-RAY | defiNETti Summary

kandi X-RAY | defiNETti Summary

defiNETti is a Python library. defiNETti has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

defiNETti is a program for performing Bayesian inference on exchangeable (or permutation-invariant) data via deep learning. In particular, it is well-suited for population genetic applications.
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              defiNETti has a low active ecosystem.
              It has 14 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              defiNETti has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of defiNETti is v1.0

            kandi-Quality Quality

              defiNETti has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              defiNETti does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              defiNETti releases are available to install and integrate.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed defiNETti and discovered the below as its top functions. This is intended to give you an instant insight into defiNETti implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Build the network
            • Symmetric layer
            • Layer layer
            • Convert a layer to a dimension
            • Convert a layer to weights
            • Calculate the total number of dims
            • Check if two dimensions are the same
            • Simulate random data
            • Draw a background rate from prior_rates
            • Test the trained model
            • Parse the empirical prior distribution
            Get all kandi verified functions for this library.

            defiNETti Key Features

            No Key Features are available at this moment for defiNETti.

            defiNETti Examples and Code Snippets

            No Code Snippets are available at this moment for defiNETti.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install defiNETti

            You can download it from GitHub.
            You can use defiNETti 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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            CLONE
          • HTTPS

            https://github.com/popgenmethods/defiNETti.git

          • CLI

            gh repo clone popgenmethods/defiNETti

          • sshUrl

            git@github.com:popgenmethods/defiNETti.git

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