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