python-weka-wrapper3 | Python 3 wrapper for Weka using python-javabridge | Machine Learning library

 by   fracpete Python Version: 0.2.16 License: GPL-3.0

kandi X-RAY | python-weka-wrapper3 Summary

kandi X-RAY | python-weka-wrapper3 Summary

python-weka-wrapper3 is a Python library typically used in Artificial Intelligence, Machine Learning applications. python-weka-wrapper3 has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install python-weka-wrapper3' or download it from GitHub, GitLab, PyPI.

Python 3 wrapper for Weka using python-javabridge.
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            kandi-support Support

              python-weka-wrapper3 has a low active ecosystem.
              It has 115 star(s) with 27 fork(s). There are 6 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 0 open issues and 35 have been closed. On average issues are closed in 28 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-weka-wrapper3 is 0.2.16

            kandi-Quality Quality

              python-weka-wrapper3 has 0 bugs and 0 code smells.

            kandi-Security Security

              python-weka-wrapper3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-weka-wrapper3 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-weka-wrapper3 is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              python-weka-wrapper3 releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              It has 10949 lines of code, 1570 functions and 83 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-weka-wrapper3 and discovered the below as its top functions. This is intended to give you an instant insight into python-weka-wrapper3 implemented functionality, and help decide if they suit your requirements.
            • Plot a learning curve
            • Copy the structure
            • Join the options
            • Builds the classifier
            • Start the JVM
            • Adds bundled jars from lib directory
            • Returns the Tag with the given name
            • Adds the value of the variable
            • Execute the action
            • Plot the ROC curve
            • Plot a line plot
            • Convert a prediction to an instance
            • Plot the precision curve
            • Calculate the average silhouette coefficient
            • Execute the method
            • Returns the Tag with the specified name
            • Loads the dataset
            • Start the execution
            • Plot classifier errors
            • Plot a result matrix
            • Plot a matplotlib matrix
            • Plot precision curves
            • Plot cluster assignments
            • Plot a scatter plot
            • Setup the experiment
            • Return a subset of the filter
            • Plot ROC curves
            Get all kandi verified functions for this library.

            python-weka-wrapper3 Key Features

            No Key Features are available at this moment for python-weka-wrapper3.

            python-weka-wrapper3 Examples and Code Snippets

            No Code Snippets are available at this moment for python-weka-wrapper3.

            Community Discussions

            QUESTION

            How to use attributeselectedclassifier on pyweka?
            Asked 2022-Mar-14 at 20:20

            Im translating a model done on weka to python-weka-wrapper3 and i dont know how to an evaluator and search options on attributeselectedclassifier.

            This is the model on weka:

            ...

            ANSWER

            Answered 2022-Mar-14 at 20:20

            You need to instantiate ASSearch and ASEvaluation objects. If you have command-lines, you can use the from_commandline helper method like this:

            Source https://stackoverflow.com/questions/71468051

            QUESTION

            Which are the possible options for pyweka multisearch function?
            Asked 2021-Nov-26 at 03:38

            I have this code from the examples of pyweka documentation (https://fracpete.github.io/python-weka-wrapper3/examples.html)

            ...

            ANSWER

            Answered 2021-Nov-26 at 03:38

            Thanks for pointing out that error in the documentation. It should just read:

            Source https://stackoverflow.com/questions/70116119

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-weka-wrapper3

            Detailed instructions on installing the library on various operating systems are located here:. Please note, that you need a build environment to compile some libraries from source.
            For viewing recent download statistics, go to pypistats:.

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            The complete documentation for the library is available from here:.
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            Install
          • PyPI

            pip install python-weka-wrapper3

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            https://github.com/fracpete/python-weka-wrapper3.git

          • CLI

            gh repo clone fracpete/python-weka-wrapper3

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            git@github.com:fracpete/python-weka-wrapper3.git

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