def loguniform(low, high, random_state):
    '''
    low: an float that represent an lower bound
    high: an float that represent an upper bound
    random_state: an object of numpy.random.RandomState
    '''
    assert low > 0, 'Lower bound must be positive'
    return np.exp(uniform(np.log(low), np.log(high), random_state))
low: an float that represent an lower bound
    high: an float that represent an upper bound
    random_state: an object of numpy.random.RandomState