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    data-science-js

    0.0.4 • Public • Published

    Data-sience-js

    JS-based library for data-science, statistic and math projects. Currently supporting

    Install

        # Install command
        npm i data-science-js

    Detailed description

    JS-based library for data-science, statistic and math projects. Currently supporting:

    • Mean Square Error: MSE
    • F1Score: macro

    Add here functions you'd like to see as js-based

    To come:

    • F1Score: averaged
    • F1Score: with null control exceptions

    Usage

    Some examples

       const {fOneScoreMacro} = requir('data-science-js')  
    
       const data = [1, 2, 0, 0, 1]
       const data = [1, 2, 1, 0 ,1 ]
    
       const {f1score, recall,precission} = fOneScoreMacro(target, predicted)
              

    Currenly avalibale:

    • fOneScoreMacro(target [], predicted [])
    • average(arr [])
    • meanSquareError (predicted [], target [])
    • summArray(arr [])

    Contributing

    Simply follow:

    1. Clone the repo
    2. Create a branch with the name of the feature you want to add
    3. Pull to your branch
    4. Create a pull request to dev so it can be checked and merged

    Contact info

    You can contact me on LinkedIn

    Edgar Gago Carrillo

    or at:

    edgargc.upc@gmail.com

    Licence

    MIT

    Install

    npm i data-science-js

    DownloadsWeekly Downloads

    4

    Version

    0.0.4

    License

    MIT

    Unpacked Size

    15.9 kB

    Total Files

    22

    Last publish

    Collaborators

    • edgargc