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GitHub - facebookresearch/hiplot: HiPlot makes understanding high dimensional da...
source link: https://github.com/facebookresearch/hiplot
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README.md
HiPlot - High dimensional Interactive Plotting
HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data using parallel plots and other graphical ways to represent information.
Try a demo now
There are 2 modes to HiPlot:
- As a web-server (if your data is a CSV for instance)
- In a jupyter notebook (to visualize python data)
pip install hiplot
If you have a jupyter notebook, you can get started with something as simple as:
import hiplot as hip data = [{'dropout':0.1, 'lr': 0.001, 'loss': 10.0, 'optimizer': 'SGD'}, {'dropout':0.15, 'lr': 0.01, 'loss': 3.5, 'optimizer': 'Adam'}, {'dropout':0.3, 'lr': 0.1, 'loss': 4.5, 'optimizer': 'Adam'}] hip.Experiment.from_iterable(data).display()
See the live result
Links
- Documentation: https://facebookresearch.github.io/hiplot/index.html
- Pypi package: https://pypi.org/project/hiplot/
- NPM package: https://www.npmjs.com/package/hiplot
License
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