def test_creation_algorithms(self, benchmark):
"""Test study creation with all support algorithms input format"""
algorithms = [
{"algorithm": {"gridsearch": {"n_values": 1}}, "deterministic": True},
{"algorithm": "tpe"},
{"random": {"seed": 1}},
"asha",
]
study = Study(benchmark, algorithms, AverageResult(2), RosenBrock(25, dim=3))
assert study.algorithms[0].name == "gridsearch"
assert study.algorithms[0].experiment_algorithm == {
"gridsearch": {"n_values": 1}
}
assert study.algorithms[0].is_deterministic
assert study.algorithms[1].name == "tpe"
assert study.algorithms[1].experiment_algorithm == "tpe"
assert not study.algorithms[1].is_deterministic
assert study.algorithms[2].name == "random"
assert study.algorithms[2].experiment_algorithm == {"random": {"seed": 1}}
assert not study.algorithms[2].is_deterministic
assert study.algorithms[3].name == "asha"
assert study.algorithms[3].experiment_algorithm == "asha"
assert not study.algorithms[3].is_deterministic
def study(benchmark, benchmark_algorithms):
"""Return a study instance"""
with benchmark.executor:
yield Study(
benchmark, benchmark_algorithms, AverageResult(2), RosenBrock(25, dim=3)
)
def _create_study(benchmark, algorithms, assess, task):
study = Study(benchmark, algorithms, assess, task)
study.setup_experiments()
return study
def study(benchmark, benchmark_algorithms):
"""Return a study instance"""
return Study(
benchmark, benchmark_algorithms, AverageResult(2), RosenBrock(25, dim=3)
)