optuna.exceptions.TrialPruned
- exception optuna.exceptions.TrialPruned[源代码]
被剪枝 trial 的异常
该错误表明当前
Trial
已被剪枝. 像下面例子中那样, 一般optuna.trial.Trial.should_prune()
出现后会抛出该异常.参见
示例
import numpy as np from sklearn.datasets import load_iris from sklearn.linear_model import SGDClassifier from sklearn.model_selection import train_test_split import optuna X, y = load_iris(return_X_y=True) X_train, X_valid, y_train, y_valid = train_test_split(X, y) classes = np.unique(y) def objective(trial): alpha = trial.suggest_float("alpha", 0.0, 1.0) clf = SGDClassifier(alpha=alpha) n_train_iter = 100 for step in range(n_train_iter): clf.partial_fit(X_train, y_train, classes=classes) intermediate_value = clf.score(X_valid, y_valid) trial.report(intermediate_value, step) if trial.should_prune(): raise optuna.TrialPruned() return clf.score(X_valid, y_valid) study = optuna.create_study(direction="maximize") study.optimize(objective, n_trials=20)