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the libraries have grown nicely over the years, though I am surprised they still lack some basic stuff. why in 2019 is there no good way to visualize a decisio
by autokad 8y ago
the libraries have grown nicely over the years, though I am surprised they still lack some basic stuff.
why in 2019 is there no good way to visualize a decision tree? having to install, configure, and get working graphviz feels very hoaky.
I prefer python, but R still does some things really well that the python libraries are just not up to par
1) anything geospatial, including drawing maps. here is a list of projects my students did to give examples:
https://pennmusa.github.io/MUSA_801.io/ https://pennmusa.github.io/MUSA_801.io/
2) time series
3) linear models, is it so hard to give me a good summary?
If anyone knows of any packages that do these >= R, I'd love to see them :)
- stevesimmons 8y ago> why in 2019 is there no good way to visualize a decision tree? You should try https://github.com/parrt/dtreeviz https://github.com/parrt/dtreeviz. From Terrence Parr and Vince Grover, released in Sept 2018. There is a good background article on the problem space and their design iterations here: https://explained.ai/decision-tree-viz/index.html https://explained.ai/decision-tree-viz/index.html
- autokad 8y agothanks for the info, but as I said above anything that relies on the installation of graphiz is extremely hoaky, and as you can see on many posts on SO, doesnt work many times.