Choosing values from range which is not exist.

[MsSurgeon]

I'm using this code

space4rf = {
    'max_depth': hp.choice('max_depth', range(1,20)),
    'min_samples_leaf': hp.choice('min_samples_leaf', range(1,10)),
            }
def f(params):
    global best
    acc = hyperopt_train_test(params)
    return {'loss': -acc, 'status': STATUS_OK}

def hyperopt_train_test(params):
    clf = RandomForestRegressor(**params)
    return cross_val_score(clf, data, y[var_y],scoring=rms_error).mean()

best = 0
trials = Trials()
best = fmin(f, space4rf, algo=tpe.suggest, max_evals=150, trials=trials)

however trials are include a lot of zero. What I'm doing wrong?

[andreiSaw]

https://districtdatalabs.silvrback.com/parameter-tuning-with-hyperopt use this article

[github-actions[bot]]

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