pyhton实现GBM算法 在网上搜的代码然后报出来这些错什么鬼啊？？求助！！

南乔浅夏

代码如下
# coding: utf-8
# pylint: disable = invalid-name, C0111
import json
import lightgbm as lgb
import pandas as pd
from sklearn.metrics import mean_squared_error
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.datasets import  make_classification

iris = load_iris()
data=iris.data
target = iris.target
X_train,X_test,y_train,y_test =train_test_split(data,target,test_size=0.2)


# 加载你的数据
# print('Load data...')
# df_train = pd.read_csv('../regression/regression.train', header=None, sep='\t')
# df_test = pd.read_csv('../regression/regression.test', header=None, sep='\t')
#
# y_train = df_train[0].values
# y_test = df_test[0].values
# X_train = df_train.drop(0, axis=1).values
# X_test = df_test.drop(0, axis=1).values

# 创建成lgb特征的数据集格式
lgb_train = lgb.Dataset(X_train, y_train)
lgb_eval = lgb.Dataset(X_test, y_test, reference=lgb_train)

# 将参数写成字典下形式
params = {
    'task': 'train',
    'boosting_type': 'gbdt',  # 设置提升类型
    'objective': 'regression', # 目标函数
    'metric': {'l2', 'auc'},  # 评估函数
    'num_leaves': 31,   # 叶子节点数
    'learning_rate': 0.05,  # 学习速率
    'feature_fraction': 0.9, # 建树的特征选择比例
    'bagging_fraction': 0.8, # 建树的样本采样比例
    'bagging_freq': 5,  # k 意味着每 k 次迭代执行bagging
    'verbose': 1 # <0 显示致命的, =0 显示错误 (警告), >0 显示信息
}

print('Start training...')
# 训练 cv and train
gbm = lgb.train(params,lgb_train,num_boost_round=20,valid_sets=lgb_eval,early_stopping_rounds=5)

print('Save model...')
# 保存模型到文件
gbm.save_model('model.txt')

print('Start predicting...')
# 预测数据集
y_pred = gbm.predict(X_test, num_iteration=gbm.best_iteration)
# 评估模型
print('The rmse of prediction is:', mean_squared_error(y_test, y_pred) ** 0.5)
运行报错：
Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "F:\PyCharm\PyCharm 2018.2.4\helpers\pydev\_pydev_bundle\pydev_umd.py", line 198, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "F:\PyCharm\PyCharm 2018.2.4\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "F:/PyCharm/20190107课设/GBM1.py", line 4, in <module>
    import lightgbm as lgb
  File "F:\PyCharm\PyCharm 2018.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
    module = self._system_import(name, *args, **kwargs)
  File "C:\Users\姜涛\AppData\Roaming\Python\Python37\site-packages\lightgbm\__init__.py", line 8, in <module>
    from .basic import Booster, Dataset
  File "F:\PyCharm\PyCharm 2018.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
    module = self._system_import(name, *args, **kwargs)
  File "C:\Users\姜涛\AppData\Roaming\Python\Python37\site-packages\lightgbm\basic.py", line 14, in <module>
    import scipy.sparse
  File "F:\PyCharm\PyCharm 2018.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
    module = self._system_import(name, *args, **kwargs)
  File "C:\Users\姜涛\AppData\Roaming\Python\Python37\site-packages\scipy\__init__.py", line 119, in <module>
    from scipy._lib._ccallback import LowLevelCallable
  File "F:\PyCharm\PyCharm 2018.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
    module = self._system_import(name, *args, **kwargs)
  File "C:\Users\姜涛\AppData\Roaming\Python\Python37\site-packages\scipy\_lib\_ccallback.py", line 1, in <module>
    from . import _ccallback_c
ImportError: cannot import name '_ccallback_c' from 'scipy._lib' (C:\Users\姜涛\AppData\Roaming\Python\Python37\site-packages\scipy\_lib\__init__.py)

Stubborn

少模块