获取名称为mlflow实验的运行ID？

我目前在 mlflow 中创建了一个实验，并在实验中创建了多次运行。

from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_squared_error
import mlflow

experiment_name="experiment-1"
mlflow.set_experiment(experiment_name)

no_of_trees=[100,200,300]
depths=[2,3,4]
for trees in no_of_trees:
    for depth in depths:
        with mlflow.start_run() as run:
            model=RandomForestRegressor(n_estimators=trees, criterion='mse',max_depth=depth)
            model.fit(x_train, y_train)
            predictions=model.predict(x_cv)
            mlflow.log_metric('rmse',mean_squared_error(y_cv, predictions))

创建运行后，我想获得此实验的最佳 run_id。现在，我可以通过查看 mlflow 的 UI 来获得最佳运行效果，但是我们如何才能正确地执行程序？

回答

experiment_name = "experiment-1"
current_experiment=dict(mlflow.get_experiment_by_name(experiment_name))
experiment_id=current_experiment['experiment_id']

df = mlflow.search_runs([experiment_id], order_by=["metrics.rmse DESC"])
best_run_id = df.loc[0,'run_id']