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[tune] Refactor search algorithms (#7037)

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* start refactoring of search algorithms

* format

* needs tests

* fix

* suggestions

* Fix PBT

* lint

* refactoring

* hyperopt_working

* dragonfly

* hyperopt

* change_half_of_algs

* save

* code-removed

* remove_lots_of_unneccessary

* changes

* formatting

* suggest

* reset

* rm

* tests

* search-change

* exception

* refactor-doc

* search

* py

* moredocs

* Update doc/source/tune-searchalg.rst

* concurrency

* max

* tune

* betterwarning

* bohb

* tests

* test-change

Co-authored-by: ujvl <misraujval@gmail.com>
This commit is contained in:
Richard Liaw
2020-04-27 08:51:13 -07:00
committed by GitHub
parent 1d5bceddf0
commit 87557a00fa
31 changed files with 527 additions and 611 deletions
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python/ray/tune/examples/dragonfly_example.py
+1 -2
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@@ -73,8 +73,7 @@ if __name__ == "__main__":
func_caller = EuclideanFunctionCaller(
None, domain_config.domain.list_of_domains[0])
optimizer = EuclideanGPBandit(func_caller, ask_tell_mode=True)
algo = DragonflySearch(
optimizer, max_concurrent=4, metric="objective", mode="max")
algo = DragonflySearch(optimizer, metric="objective", mode="max")
scheduler = AsyncHyperBandScheduler(metric="objective", mode="max")
run(objective,
name="dragonfly_search",