relapML | Using weka library in java this program can differentiate | Application Framework library

 by   banaabraham Java Version: Current License: No License

kandi X-RAY | relapML Summary

kandi X-RAY | relapML Summary

relapML is a Java library typically used in Server, Application Framework applications. relapML has no bugs, it has no vulnerabilities and it has low support. However relapML build file is not available. You can download it from GitHub.

Using weka library in java this program can differentiate the state of the PWR reactor in the RELAP5-3D simulation into 3 states; Large-Break Loss of Coolant Accident, Small break LOCA,and steady.
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            kandi-support Support

              relapML has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              relapML has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of relapML is current.

            kandi-Quality Quality

              relapML has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              relapML 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

              relapML releases are not available. You will need to build from source code and install.
              relapML 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 relapML and discovered the below as its top functions. This is intended to give you an instant insight into relapML implemented functionality, and help decide if they suit your requirements.
            • Main function
            • Double search function
            • Make predictions from the train dataset
            • Generates a testset
            • Go to the console
            Get all kandi verified functions for this library.

            relapML Key Features

            No Key Features are available at this moment for relapML.

            relapML Examples and Code Snippets

            No Code Snippets are available at this moment for relapML.

            Community Discussions

            QUESTION

            What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?
            Asked 2020-Mar-06 at 09:53

            I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below

            https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html

            This is the sample config.xml file

            ...

            ANSWER

            Answered 2020-Mar-06 at 09:48

            I figured out why we need this

            required-api: param name="#target"

            OPTIONAL(not compulsory)

            It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.

            Source https://stackoverflow.com/questions/60561230

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

            Vulnerabilities

            No vulnerabilities reported

            Install relapML

            You can download it from GitHub.
            You can use relapML like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the relapML component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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
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            https://github.com/banaabraham/relapML.git

          • CLI

            gh repo clone banaabraham/relapML

          • sshUrl

            git@github.com:banaabraham/relapML.git

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