Comments (4)
[This should be pretty easy to implement, because adaptive already accepts callbacks. We just need to pass the method and call it somewhere around here
Currently AFK, but will look tomorrow.
from adaptive-scheduler.
Yes; I think the issue is piping 'save_method' all the way from the top of the API. We would also need to store 'save_method' somewhere so that the clients can pick it up.
Contrast this to 'save_dataframe', where we hardcode the method invocation and instead pass through simple data (boolean flag and a format specifier string).
from adaptive-scheduler.
We can probably pass it in the same way as the runner_kwargs:
from adaptive-scheduler.
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Related Issues (20)
- log explorer looked in `old_logs/logs/logfile.out` instead of `old_logs/logfile.out`
- add helper functions to set SLURM options
- Unicode error on template writing HOT 1
- sorting is broken in the logging widget HOT 1
- forced --no-requeue HOT 1
- Early requeue of jobs HOT 1
- extra_script is missing in SLURM(BaseScheduler) HOT 6
- UnicodeDecodeError in _make_default_run_script HOT 1
- Add sequential 'strategy' for BalancingLearner
- Make show failed jobs the default in the log viewer
- add pathos backend
- Ideas 💡
- incompatible with python 3.8 HOT 2
- Add average node starting time to widget 💡 HOT 1
- Allow to only save only dataframes instead of both fnames and derived fnames
- save_dataframe does not write atomically
- Flood of RuntimeErrors with latest adaptive-scheduler HOT 10
- Calls to scheduler are not asynchronous HOT 1
- # of points is off HOT 3
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from adaptive-scheduler.