大家好,我在Knime中执行的每个人都是这个网站上的一个python代码。
here
!,使用knime python扩展,但我需要将最好的3个模型配置导出到一个数据帧中,该数据帧由for循环生成,并表示为一个元组。
代码的原始最后一位是
if __name__ == '__main__':
# load dataset
series = read_csv('daily-total-female-births.csv', header=0, index_col=0)
data = series.values
print(data.shape)
# data split
n_test = 165
# model configs
cfg_list = sarima_configs()
# grid search
scores = grid_search(data, cfg_list, n_test)
print('done')
# list top 3 configs
for cfg, error in scores[:3]:
print(cfg, error)
应该回来了
done
[(0, 1, 2), (2, 0, 2, 0), 't'] 54.767582003072874
[(0, 1, 1), (2, 0, 2, 0), 'ct'] 58.69987083057107
[(1, 1, 2), (0, 0, 1, 0), 't'] 58.709089340600094
因此,我用两次失败的尝试修改了代码,如下所示:
尝试:1
if __name__ == '__main__':
# load dataset
series = read_csv('C:\\Users\\Downloads\\shampoo.txt', header=0, index_col=0, date_parser=custom_parser)
data = series.values
print(data.shape)
# data split
n_test = 12
# model configs
cfg_list = sarima_configs()
# grid search
scores = grid_search(data, cfg_list, n_test)
print('done')
# list top 3 configs
for cfg, error in scores[:3]:
df=pd.DataFrame(cfg, error)
output_table = df
尝试次数:2次
if __name__ == '__main__':
# load dataset
series = read_csv('C:\\Users\\Downloads\\shampoo.txt', header=0, index_col=0, date_parser=custom_parser)
data = series.values
print(data.shape)
# data split
n_test = 12
# model configs
cfg_list = sarima_configs()
# grid search
scores = grid_search(data, cfg_list, n_test)
print('done')
# list top 3 configs
for cfg, error in scores[:3]:
df.append({'cfg': cfg, 'error': error},ignore_index=True)
output_table = df
问题是,knime需要定义一个输出表,比如pandas数据帧来执行节点(最小的处理单元)。
我希望像下图那样定义输出表格(
https://ibb.co/xCGqVtx
)
谢谢你