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LGBMClassifier
LGBMClassifier是LGBMModel的子类，它用于分类任务。class lightgbm.LGBMClassifier(boosting_type='gbdt', num_leaves=31, max_depth=-1, learning_rate=0.1, n_estimators=10, max_bin=255, subsample_for_bin=200000, objective=None, min_split_gain=0.0, min_child_weight=0.001, min_child_samples=20, subsample=1.0, subsample_freq=1, colsample_bytree=1.0, reg_alpha=0.0, reg_lambda=0.0, random_state=None, n_jobs=-1, silent=True, **kwargs)参数：参考LGBMModel- 属性：参考
LGBMModel - 方法：
.fit()： 训练模型fit(X, y, sample_weight=None, init_score=None, eval_set=None, eval_names=None, eval_sample_weight=None, eval_init_score=None, eval_metric='logloss', early_stopping_rounds=None, verbose=True, feature_name='auto', categorical_feature='auto', callbacks=None)参数：参考LGBMModel.fit()返回值：参考LGBMModel.fit().predict_proba(X, raw_score=False, num_iteration=0)：预测每个样本在每个类上的概率。 参数：参考LGBMModel.predict()返回值：一个形状为(n_samples,n_classes)的array-like对象，给出了每个样本在每个类别上的概率。- 其它方法参考
LGBMModel
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