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
0.0.4 (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
Release history Release notifications | RSS feed
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