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Visualizations for machine learning datasets
- theschreon 9y agoDoes this also work for larger numbers of features? (like, 2000, as opposed to 6-9 in the demo)
- lacksconfidence 9y agoOnly if your dataset is really small. It only supports up to a low millions of points
- bonniemuffin 9y agoI'm not sure why this is described as being for "machine learning datasets" when it actually sounds useful for any exploratory data analysis, regardless of what the user intends to do with the data. Anyway, this looks super slick, and I definitely want to try it out in a jupyter notebook.
- divbzero 9y agoProbably for the same reason that predictive models are described as powered by “AI” instead of by “statistical learning”: Some terms are simply more in vogue even if they’re more vague.
- elsherbini 9y agoThey have an example of using the tool on the quick draw dataset: https://pair-code.github.io/facets/quickdraw.html https://pair-code.github.io/facets/quickdraw.html
- somesnm 9y agoFor nice looking basic statistics of your dataset the pandas-profiling library will do the trick https://github.com/JosPolfliet/pandas-profiling https://github.com/JosPolfliet/pandas-profiling
- nl 9y agoThe front page https://pair-code.github.io/facets/ https://pair-code.github.io/facets/ is more useful, because you can load up your own data and try it out.