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WillKoehrsen/one_line_hyperopt.py

Last active August 14, 2018 12:47
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one_line_hyperopt.py
import numpy as np
from hyperopt import hp, tpe, fmin
# Single line bayesian optimization of polynomial function
best = fmin(fn = lambda x: np.poly1d([1, -2, -28, 28, 12, -26, 100])(x),
space = hp.normal('x', 4.9, 0.5), algo=tpe.suggest,
max_evals = 2000)
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