source: How to generate realistic yelp restaurant reviews with Keras | DLology

sample.py

def sample(preds, temperature=1.0):
    '''
    Generate some randomness with the given preds
    which is a list of numbers, if the temperature
    is very small, it will always pick the index
    with highest pred value
    '''
    preds = np.asarray(preds).astype('float64')
    preds = np.log(preds) / temperature
    exp_preds = np.exp(preds)
    preds = exp_preds / np.sum(exp_preds)
    probas = np.random.multinomial(1, preds, 1)
    return np.argmax(probas)