def test_adding_new_trials(self):
new_arm = get_arms()[1]
new_trial = self.experiment.new_trial(generator_run=GeneratorRun(
arms=[new_arm]))
with self.assertRaises(ValueError):
self.experiment.new_trial(generator_run=GeneratorRun(
arms=get_arms()))
self.assertEqual(new_trial.arms_by_name["1_0"], new_arm)
with self.assertRaises(KeyError):
self.trial.arms_by_name["1_0"]
def setUp(self):
self.experiment = get_experiment()
self.experiment.status_quo = None
self.batch = self.experiment.new_batch_trial()
arms = get_arms()
weights = get_weights()
self.status_quo = arms[0]
self.sq_weight = weights[0]
self.arms = arms[1:]
self.weights = weights[1:]
self.batch.add_arms_and_weights(arms=self.arms, weights=self.weights)
def setUp(self):
self.model_predictions = get_model_predictions()
self.optimization_config = get_optimization_config()
self.search_space = get_search_space()
self.arms = get_arms()
self.weights = [2, 1, 1]
self.unweighted_run = GeneratorRun(
arms=self.arms,
optimization_config=self.optimization_config,
search_space=self.search_space,
model_predictions=self.model_predictions,
fit_time=4.0,
gen_time=10.0,
)
self.weighted_run = GeneratorRun(
arms=self.arms,
weights=self.weights,
optimization_config=self.optimization_config,
search_space=self.search_space,
model_predictions=self.model_predictions,
)
def setUp(self):
self.experiment = get_experiment()
self.trial = self.experiment.new_trial()
self.arm = get_arms()[0]
self.trial.add_arm(self.arm)