Comments (2)
We have no preference as to whether the datasets come from wet lab experiments or simulations. We welcome both kinds.
from olympus.
Reading the manuscript in more depth, it seems like the answer is yes (i.e. focus on datasets produced via autonomous experimentation).
from olympus.
Related Issues (20)
- Missing documentation requirements
- Cma is noisy
- Cleanup files written by planners
- Dataset Import in Windows OS HOT 2
- How to use Olympus with a custom objective function? HOT 4
- Using Olympus `Planner`-s to optimize SDL-Demo HOT 6
- Add synthesis dataset HOT 2
- Does Olympus support integer parameters? HOT 2
- Grid search produces `IndexError: pop from empty list`
- Local location of dataset and models contains absolute directory path and is prepended with "dataset_" and "model" HOT 1
- Running in debug mode on VS Code doesn't stop on [FATAL] message
- After installing numpy and pandas in Python 3.9.* on Windows, `ERROR: No matching distribution found for tensorflow==1.15` HOT 1
- After I have installed numpy, panda and olmp, I try to run the example, but it failed HOT 1
- Dataset contribution: autonomous discovery of battery electrolytes HOT 1
- Plans for multi-objective optimization benchmarks? (`target_ids`) HOT 1
- [Dev] Results from `Olympus().run()` contains results from previous runs
- [Main & Dev] Specific dependencies versions required
- missing packages
- In the examples code , there is an issue (emulator.ipynb)
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from olympus.