MAE

 by   LCAD-UFES C Version: Current License: No License

kandi X-RAY | MAE Summary

kandi X-RAY | MAE Summary

MAE is a C library. MAE has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

MAE
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            kandi-support Support

              MAE has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              MAE has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MAE is current.

            kandi-Quality Quality

              MAE has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

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

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MAE
            Get all kandi verified functions for this library.

            MAE Key Features

            No Key Features are available at this moment for MAE.

            MAE Examples and Code Snippets

            Decorate a function with a test case .
            pythondot img1Lines of Code : 114dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def run_with_all_model_types(
                test_or_class=None,
                exclude_models=None):
              """Execute the decorated test with all Keras model types.
            
              This decorator is intended to be applied either to individual test methods in
              a `keras_parameterized.Test  
            Decorator to run all Keras modes .
            pythondot img2Lines of Code : 102dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def run_all_keras_modes(test_or_class=None,
                                    config=None,
                                    always_skip_v1=False,
                                    always_skip_eager=False,
                                    **kwargs):
              """Execute the decorated test with al  
            Mean distance between two predictions .
            pythondot img3Lines of Code : 18dot img3License : Permissive (MIT License)
            copy iconCopy
            def mae(predict, actual):
                """
                Examples(rounded for precision):
                >>> actual = [1,2,3];predict = [1,4,3]
                >>> np.around(mae(predict,actual),decimals = 2)
                0.67
            
                >>> actual = [1,1,1];predict = [1,1,1]
                  

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install MAE

            You can download it from GitHub.

            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/LCAD-UFES/MAE.git

          • CLI

            gh repo clone LCAD-UFES/MAE

          • sshUrl

            git@github.com:LCAD-UFES/MAE.git

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