Skip to main content

A light-weight framework to store the progress you madeon your ML operations with the ability to smartly cache your modelsand retrieve it even when your session crashes.

Project description

A lightweight framework to run MLOps experiments with caching abilities.

TODO: complete readme

Change Log

0.0.5 (24.6.2022)

  • Add reload_cfg before each call of runner.run

  • Add reload_cfg before each call of runner.preprocess

  • Add runner.export_logs() method to get a zip file from all logfiles in the experiment directory

0.0.4 (23.6.2022)

  • Add more logs for verbose runners

  • Add CACHE.LOGS_DIR to save logs such as tensorboard

  • Add maximum cache limit that can be manipulated using mlm.MAX_CACHE_SIZE

0.0.3 (23.6.2022)

  • README updated

  • full support without configurations

  • secret_root added to factory and reveal_true_path

0.0.2 (23.6.2022)

  • Bug removal of some initial problems with the setup

0.0.1 (23.6.2022)

  • First release

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

mlmnemonist-0.0.5.tar.gz (1.6 MB view details)

Uploaded Source

File details

Details for the file mlmnemonist-0.0.5.tar.gz.

File metadata

  • Download URL: mlmnemonist-0.0.5.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for mlmnemonist-0.0.5.tar.gz
Algorithm Hash digest
SHA256 e526e9a32fca5da19053e8b5d41178f35e0954801f806f2b8d8a62802fca83f2
MD5 28e0b7bef23ff53429cb1d766eebf0b2
BLAKE2b-256 25d4a0ece525797fde646ab24895114bde54c80f30e4d7de283ed035ba4de2fc

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