mle-infrastructure / mle-toolbox

Lightweight Tool to Manage Distributed ML Experiments 🛠
https://mle-infrastructure.github.io/mle_toolbox/toolbox/
MIT License
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Within toolbox seed control - multi-seed, SMBO, PBT exploration #79

Closed RobertTLange closed 2 years ago

RobertTLange commented 2 years ago

We need more control over the random seed within the overall experiment execution. Replication yadayada. This includes the following:

Ideally, this should be set via set_random_seeds directly at the start of run.py and in the num_seeds of the .yaml file.

RobertTLange commented 2 years ago

Addressed in 1b9c741.