rail-stgcnn | Using recurrent Spatio-Temporal Graph Convolutional Neural

 by   romnn Python Version: Current License: MIT

kandi X-RAY | rail-stgcnn Summary

kandi X-RAY | rail-stgcnn Summary

rail-stgcnn is a Python library. rail-stgcnn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Using recurrent Spatio-Temporal Graph Convolutional Neural Networks to improve ETA predictions of cargo railway transportation.
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            kandi-support Support

              rail-stgcnn has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              rail-stgcnn has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rail-stgcnn is current.

            kandi-Quality Quality

              rail-stgcnn has no bugs reported.

            kandi-Security Security

              rail-stgcnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              rail-stgcnn 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

              rail-stgcnn releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rail-stgcnn and discovered the below as its top functions. This is intended to give you an instant insight into rail-stgcnn implemented functionality, and help decide if they suit your requirements.
            • Returns a matplotlib plot .
            • Retrieve a single transport .
            • Train a model
            • Plot the prediction of a route .
            • Parse the transport .
            • Train the model .
            • Initialization .
            • Packs the transport section of the transport .
            • Plot the average delay distribution .
            • Draws a route .
            Get all kandi verified functions for this library.

            rail-stgcnn Key Features

            No Key Features are available at this moment for rail-stgcnn.

            rail-stgcnn Examples and Code Snippets

            No Code Snippets are available at this moment for rail-stgcnn.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install rail-stgcnn

            You can download it from GitHub.
            You can use rail-stgcnn 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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          • HTTPS

            https://github.com/romnn/rail-stgcnn.git

          • CLI

            gh repo clone romnn/rail-stgcnn

          • sshUrl

            git@github.com:romnn/rail-stgcnn.git

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