wassname/ray
1
0
Fork 0
mirror of https://github.com/wassname/ray.git synced 2026-07-01 15:10:48 +08:00
Code Issues Packages Projects Releases Wiki Activity

[tune] Tune Facelift (#2472)

Browse Source 
This PR introduces the following changes:

 * Ray Tune -> Tune 
 * [breaking] Creation of `schedulers/`, moving PBT, HyperBand into a submodule
 * [breaking] Search Algorithms now must take in experiment configurations via `add_configurations` rather through initialization
 * Support `"run": (function | class | str)` with automatic registering of trainable
 * Documentation Changes
This commit is contained in:
Richard Liaw
2018-08-19 11:00:55 -07:00
committed by GitHub
parent 78b6bfb7f9
commit 62d0698097
44 changed files with 1050 additions and 664 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/ray/tune/examples/hyperopt_example.py
+3 -4
View File
@@ -8,7 +8,7 @@ from __future__ import print_function
import ray
from ray.tune import run_experiments, register_trainable
from ray.tune.async_hyperband import AsyncHyperBandScheduler
from ray.tune.schedulers import AsyncHyperBandScheduler
from ray.tune.suggest import HyperOptSearch
@@ -52,7 +52,6 @@ if __name__ == '__main__':
},
}
}
algo = HyperOptSearch(
config, space, max_concurrent=4, reward_attr="neg_mean_loss")
algo = HyperOptSearch(space, max_concurrent=4, reward_attr="neg_mean_loss")
scheduler = AsyncHyperBandScheduler(reward_attr="neg_mean_loss")
run_experiments(search_alg=algo, scheduler=scheduler)
run_experiments(config, search_alg=algo, scheduler=scheduler)