Skip to main content

Visualization Python interface for benchmark automation and optimization results.

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlos_viz-0.6.2.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mlos_viz-0.6.2-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file mlos_viz-0.6.2.tar.gz.

File metadata

  • Download URL: mlos_viz-0.6.2.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for mlos_viz-0.6.2.tar.gz
Algorithm Hash digest
SHA256 ee0d698127da8af31255a57b64f4a1c71467b518a3666126dcfc30e8b9ba8d0f
MD5 3f5dcc6a56ddb482f3c64f7c06f8d217
BLAKE2b-256 41a216ce39895998003b1f56b04d6d81d2280d5bf483b7a77fd3431648f9ca6f

See more details on using hashes here.

File details

Details for the file mlos_viz-0.6.2-py3-none-any.whl.

File metadata

  • Download URL: mlos_viz-0.6.2-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for mlos_viz-0.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f4e7bf135d1c2d9ea8e944200f4ad4da9389c096187bdee18e4cb63985a397f2
MD5 721b74ac23b21b858620377c88ac23d8
BLAKE2b-256 e71cc3b3fb0fee5b935dfbe4e35518c08aa59312983e2bd09716cf5b7cd71e26

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page