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Update REA, REINFORCE, RANDOM, and BOHB

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D-X-Y
2020-07-14 11:53:21 +00:00
parent 168b08d9e6
commit 2c861f33c4
8 changed files with 79 additions and 88 deletions
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4
exps/algos-v2/regularized_ea.py
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@@ -160,7 +160,7 @@ def regularized_evolution(cycles, population_size, sample_size, time_budget, ran
while len(population) < population_size:
model = Model()
model.arch = random_arch()
model.accuracy, _, _, total_cost = api.simulate_train_eval(model.arch, dataset, '12')
model.accuracy, _, _, total_cost = api.simulate_train_eval(model.arch, dataset, hp='12')
# Append the info
population.append(model)
history.append((model.accuracy, model.arch))
@@ -184,7 +184,7 @@ def regularized_evolution(cycles, population_size, sample_size, time_budget, ran
# Create the child model and store it.
child = Model()
child.arch = mutate_arch(parent.arch)
child.accuracy, _, _, total_cost = api.simulate_train_eval(child.arch, dataset, '12')
child.accuracy, _, _, total_cost = api.simulate_train_eval(child.arch, dataset, hp='12')
# Append the info
population.append(child)
history.append((child.accuracy, child.arch))