Helmholtz-AI-Energy / Helmholtz-AI-Energy/propulate

Grey box optimization

Open
#88 0 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
46
Forks
9
PR merge metrics
No merged PRs in 30d

Description

Two options:

1: propulator passes additional infrastructure, like a maximum loss and time derived from the current population to the blackbox, which can use this information for pruning

2: the blackbox yields its current loss back to the propulator so it can decide whether to continue running the blackbox

Contributor guide

Open the contributing guide

Research direction

No files, tests, or entry points are named. Start by comparing the two proposed interfaces and clarifying which approach should be pursued; done requires a resolved design choice and agreed implementation scope.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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