hyperopt:generate mixed samples

test_hyperopt_sampling.py

from hyperopt import hp
from hyperopt.pyll.stochastic import sample
space = hp.choice('label', [
                            hp.uniform('sub_label_1', 0.3, 0.8),
                            hp.normal('sub_label_2', 0.5, 1.0), None, 0, 1, "anything"
                           ])
space = {
        # None by default
        'max_depth': hp.choice('max_depth', [None, np.arange(1, 300, 1,dtype=int)]),
        # 2 by default
        'min_samples_split' : hp.choice('min_samples_split', np.arange(2, 40,1, dtype=int)),
        # 1 by default
        'min_samples_leaf' : hp.choice('min_samples_leaf', np.arange(1, 40,1, dtype=int)),
        # auto by default
        'max_features' : hp.choice('max_features', ['auto',np.arange(1, 7, dtype=int)]),
        # None by deault
        'max_samples': hp.choice('max_samples', [None, hp.uniform('max_samples', 0.006, 0.74)])
    }
for _ in range(50):
  print(sample(space))