6b9bc7c83f
- use object state just for rng and init points status, don't save models or points - other counting edge cases fixes
19 lines
692 B
Python
19 lines
692 B
Python
from typing import Any, Dict, List, Tuple
|
|
from queue import Queue
|
|
from multiprocessing.managers import SyncManager
|
|
|
|
hyperopt: Any = None
|
|
manager: SyncManager
|
|
# stores the optimizers in multi opt mode
|
|
optimizers: Queue
|
|
# stores the results to share between optimizers
|
|
# in the form of key = Tuple[Xi], value = Tuple[float, int]
|
|
# where float is the loss and int is a decreasing counter of optimizers
|
|
# that have registered the result
|
|
results_shared: Dict[Tuple, Tuple]
|
|
# in single mode the results_list is used to pass the results to the optimizer
|
|
# to fit new models
|
|
results_list: List
|
|
# results_batch stores keeps results per batch that are eventually logged and stored
|
|
results_batch: Queue
|