Skip to main content

A Python library to improve MLOps methodology on Azure Machine Learning

Project description

Arcus for Azure Machine Learning

This package for Python allows users to better collaborate around Azure MLOps and abstracts a lot of the complexities when running experiments and trainings locally or in the cloud.

Support for

  • Remote tracking of experiments
  • Distributed training

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

arcus-azureml-1.1.2.2.dev202203300190.tar.gz (24.8 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file arcus-azureml-1.1.2.2.dev202203300190.tar.gz.

File metadata

  • Download URL: arcus-azureml-1.1.2.2.dev202203300190.tar.gz
  • Upload date:
  • Size: 24.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.22.0 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10

File hashes

Hashes for arcus-azureml-1.1.2.2.dev202203300190.tar.gz
Algorithm Hash digest
SHA256 412e6b31a25f1c9cb94a528480597faca159db5cb2e5ec7f23187ff6f656c0f8
MD5 0aa57c7e46940a6933953de0aa8a5890
BLAKE2b-256 23fc4e116106d20741962a3d4e07177bac112e3dd13221a7fbd933fab5ac77a9

See more details on using hashes here.

File details

Details for the file arcus_azureml-1.1.2.2.dev202203300190-py3-none-any.whl.

File metadata

  • Download URL: arcus_azureml-1.1.2.2.dev202203300190-py3-none-any.whl
  • Upload date:
  • Size: 27.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.22.0 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10

File hashes

Hashes for arcus_azureml-1.1.2.2.dev202203300190-py3-none-any.whl
Algorithm Hash digest
SHA256 7be38942ef0f45942f7085522922a8d3506a991e05f753ecdd06eb30d9efbd20
MD5 0f6032febc787a692578735fc2b813f6
BLAKE2b-256 09bb470c616cc85282a4f4a46d4fe8717f3d219d05c26c1e57e33c022cc0eb1a

See more details on using hashes here.

Supported by

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