ValueError: Input data must be 2 dimensional and non empty

背景

在做点击率预估GBDT+LR模型时，使用lightgbm训练时，报错

# create dataset for lightgbm
lgb_train = lgb.Dataset(X_train, label = y_train)
lgb_eval = lgb.Dataset(X_test, label = y_test)

params = {
   
    'task': 'train',
    'boosting_type': 'gbdt',
    'objective': 'binary',
    'metric': {
   'binary_logloss'},
    'num_leaves': 64,
    'num_trees': 100,
    'learning_rate': 0.01,
    'feature_fraction': 0.9,
    'bagging_fraction': 0.8,
    'bagging_freq': 5,
    'verbose': 0
}

# number of leaves,will be used in feature transformation
num_leaf = 64

print('Start training...')
# train
gbm = lgb.train(params,
                lgb_train,
                num_boost_round=100,
                valid_sets=lgb_train)

有如下报错

ValueError                                Traceback (most recent call last)
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