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huawei-noah / HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

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HEBO demo codes fail

abhishek-ghose opened this issue · comments

commented

Hi,

I installed the HEBO library, and tried to run the demo codes here:

  1. https://github.com/huawei-noah/HEBO/tree/master/HEBO#demo
  2. https://github.com/huawei-noah/HEBO/tree/master/HEBO#auto-tuning-via-sklearn-estimator

Both begin executing but eventually fail with the error:
TypeError: __init__() got an unexpected keyword argument 'prob_per_variable'

The complete stacktrace for the second demo code (auto-tuning sklearn estimator) is:

Iter 0, best metric: 0.398791  
Iter 1, best metric: 0.492467
Iter 2, best metric: 0.658477
Iter 3, best metric: 0.658477
Iter 4, best metric: 0.658477
Iter 5, best metric: 0.658477
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/redacted_path_1/HEBO-master/HEBO/hebo/sklearn_tuner.py", line 74, in sklearn_tuner
    rec     = opt.suggest()
  File "/redacted_path_1/HEBO-master/HEBO/hebo/optimizers/hebo.py", line 153, in suggest
    rec = opt.optimize(initial_suggest = best_x, fix_input = fix_input).drop_duplicates()
  File "/redacted_path_1/HEBO-master/HEBO/hebo/acq_optimizers/evolution_optimizer.py", line 126, in optimize
    algo      = get_algorithm(self.es, pop_size = self.pop, sampling = init_pop, mutation = mutation, crossover = crossover, repair = self.repair)
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/factory.py", line 85, in get_algorithm
    return get_from_list(get_algorithm_options(), name, args, {**d, **kwargs})
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/factory.py", line 49, in get_algorithm_options
    from pymoo.algorithms.moo.ctaea import CTAEA
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/algorithms/moo/ctaea.py", line 223, in <module>
    class CTAEA(GeneticAlgorithm):
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/algorithms/moo/ctaea.py", line 230, in CTAEA
    mutation=PM(eta=20, prob_per_variable=None),
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/operators/mutation/pm.py", line 77, in __init__
    super().__init__(prob=prob, **kwargs)
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/core/mutation.py", line 29, in __init__
    super().__init__(**kwargs)
  File "/redacted_path_2/anaconda3/lib/python3.7/site-packages/pymoo-0.6.0.dev0-py3.7-linux-x86_64.egg/pymoo/core/mutation.py", line 10, in __init__
    super().__init__(**kwargs)
TypeError: __init__() got an unexpected keyword argument 'prob_per_variable'

Can you provide pointers for fixing this? Thanks!

commented

It looks like it's because you installed pymoo-0.6.0 which is currently a pre-release version, while hebo was tested under pymoo-0.5.0, could you please test the demo under pymoo-0.5.0?

Given that pymoo-0.6.0 is currently just a pre-release, I won't update HEBO to be compatible with pymoo-0.6.0, but I'll do that once 0.6.0 becomes a stable release

commented

That seems to fix the issue, thank you!