mlmnemonist 0.0.11

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.

A lightweight framework to run MLOps experiments with caching abilities.

TODO: complete readme

Change Log

0.0.11 (1.7.2022)

• Grid search can now continue on the runner’s last interrupt

0.0.10 (1.7.2022)

• With preprocess added to gridsearch

• merge_cfg added to ExperimentRunner

0.0.9 (1.7.2022)

• Grid search bug removal

• Implement two types of grid search: one using a palette config and another using a directory containing all the config files

• Retrieve added to ExperimentRunnerFactory

• Updated naming scheme for experiments such that each experiment has a description file and their name contains the date of today

0.0.8 (1.7.2022)

• Bug removal in validation tools

0.0.7 (1.7.2022)

• Add expand_cfg for hyperparameter tuning

• Add gridsearch for hyperparameter tuning

• Change cache token scheme

0.0.6 (29.6.2022)

• Bug removal in CACHE.RESET() where directories are included in the logs

• Runner pipeline cloning option added

• preprocess does keep the pipeline by default

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