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This small Python library contains Jupyter widgets that allow you to draw a dataset in a Jupyter notebook. This should be very useful when teaching machine learning algorithms.
The project uses anywidget under the hood so our tools should work in Jupyter, VSCode and Colab. That also means that you get a proper widget that can interact with ipywidgets natively. Here is an example where updating a drawing triggers a new scikit-learn model to train (code).
The assumption for this property is that if you've used multiple colors that you're interested in doing classification and if you've only drawn one color you're interested in regression. In the case of regression y will refer to the y-axis.
This project was originally part of my work over at calmcode labs but my employer probabl has been very supportive and has allowed me to work on this project during my working hours. This was super cool and I wanted to make sure I recognise them for it.
The original implementation of our widget would use an iframe to load a site in order to be able to draw from a Jupyter notebook. This works, but requires more manual effort, only works with pandas via the clipboard feature and needs an internet connection. Here's what that widget looks like:
