186d05b75a91c7ec57b54da68783c2853ccbc706,examples/lightgbm_simple.py,,objective,#Any#,31

Before Change

        "objective": "binary",
        "metric": "binary_logloss",
        "verbosity": -1,
        "boosting_type": trial.suggest_categorical("boosting", ["gbdt", "dart", "goss"]),
        "num_leaves": trial.suggest_int("num_leaves", 10, 1000),
        "learning_rate": trial.suggest_loguniform("learning_rate", 1e-8, 1.0)
    }

After Change

        "num_leaves": trial.suggest_int("num_leaves", 2, 256),
        "feature_fraction": min(trial.suggest_uniform("feature_fraction", 0.4, 1.0 + EPS), 1.0),
        "bagging_fraction": min(trial.suggest_uniform("bagging_fraction", 0.4, 1.0 + EPS), 1.0),
        "bagging_freq": trial.suggest_int("bagging_freq", 1, 7),
        "min_child_samples": int(trial.suggest_uniform("min_child_samples", 5, 100 + EPS)),
    }

    gbm = lgb.train(param, dtrain)

Instances