High dimensional Interactive Plotting tool
Project description
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
Credits
Inspired by and based on code from Kai Chang, Mike Bostock and Jason Davies.
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hiplot-0.1.7.post1.tar.gz
(323.2 kB
view hashes)
Built Distribution
hiplot-0.1.7.post1-py3-none-any.whl
(327.8 kB
view hashes)
Close
Hashes for hiplot-0.1.7.post1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab3958d19d2a2c91922059ec4af0655562f2b74d4f5f5484305df413a3b584d2 |
|
MD5 | 64381dac6ecc61a84b0fff38718fb6a7 |
|
BLAKE2b-256 | 15366a9d3128cb1cee4612a8525297ab9b5db5e0d6b6fdfb1c9d53381cc81e88 |