Plotting for ML training
Project description
-
See Ploteries's full documentation for more information
-
Contribute at Ploteries's github page
Installation:
pip install ploteries
Benefits:
- Can use any name for tags, the actual name will be displayed.
- Uses plotly plots, full flexibility.
Aims:
- A clear separation between data and storage.
- Separates data storage and display code - can define and re-style display post computations/storage.
Transparent computations:
- What is Tensorboard's wall time? How is smoothign computed? How are histograms computed?
Things to do:
- Better separation between data and display.
- Common interface to add new plots by user used to create histograms.
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