- shared mode uses one optimizer with shared results - multi mode runs as many optimizers as jobs and results are only shared on ask - a flag to override the strategy when asking more points (--lie-strat) - make sure to ask with n_points `None` to avoid computing more points than needed in shared mode - reduce n of models to 1 in multi mode - don't load more than the specified number of jobs when loading previous optimizers - stretch the batch length to reach the epochs limit - a warning for when no epochs are logged |
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.. | ||
__init__.py | ||
check_exchange.py | ||
config_setup.py | ||
config_validation.py | ||
configuration.py | ||
deprecated_settings.py | ||
directory_operations.py | ||
load_config.py | ||
timerange.py |