mlos-viz
The mlos_viz module is an aid to visualizing experiment benchmarking and optimization results generated and stored by mlos_bench.
Overview
Its core API is mlos_viz.plot(experiment), initially implemented as a wrapper around dabl to provide a basic visual overview of the results, where experiment is an ExperimentData objected returned from the mlos_bench.storage layer APIs.
In the future, we plan to add more automatic visualizations, interactive visualizations, feedback to the mlos_bench experiment trial scheduler, etc.
It's available for pip install via the pypi repository at mlos-viz.
See Also
- https://microsoft.github.io/MLOS/autoapi/mlos_viz/ for more documentation details
Metadata
Release files for mlos-viz 0.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| mlos_viz-0.6.2.tar.gz | 11.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlos_viz-0.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / mlos_viz-0.6.2.tar.gz
| Download URL | mlos_viz-0.6.2.tar.gz |
|---|---|
| Size | 11.9 kB |
| Tags | Source |
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Release files / mlos_viz-0.6.2-py3-none-any.whl
| Download URL | mlos_viz-0.6.2-py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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