Comments (3)
在测试'electricity.csv'数据集时,设置args.features = 'MS',args.target = 'OT',args.enc_in = 321, args.dec_in = 321,args.c_out = 1,其余参数采用默认参数,程序会报错:RuntimeError: shape '[32, 1, 96]' is invalid for input of size 986112
你好咱们设置args.target = 'OT',args.c_out = 1,是需要预测其中一条特性的序列嘛
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在测试'electricity.csv'数据集时,设置args.features = 'MS',args.target = 'OT',args.enc_in = 321, args.dec_in = 321,args.c_out = 1,其余参数采用默认参数,程序会报错:RuntimeError: shape '[32, 1, 96]' is invalid for input of size 986112
你好咱们设置args.target = 'OT',args.c_out = 1,是需要预测其中一条特性的序列嘛
我是想先测试多对一的预测问题,就先在这个case上测试了下,发现有问题
from timemixer.
在测试'electricity.csv'数据集时,设置args.features = 'MS',args.target = 'OT',args.enc_in = 321, args.dec_in = 321,args.c_out = 1,其余参数采用默认参数,程序会报错:RuntimeError: shape '[32, 1, 96]' is invalid for input of size 986112
你好咱们设置args.target = 'OT',args.c_out = 1,是需要预测其中一条特性的序列嘛
我是想先测试多对一的预测问题,就先在这个case上测试了下,发现有问题
目前TimeMixer还不支持协变量预测的模式,如果是做协变量预测可以参考我们另外一个工作TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
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Related Issues (20)
- 运行脚本出现以下错误,请问该怎么处理 HOT 3
- 周期趋势的分解 HOT 2
- GELU hard coded HOT 1
- 运行short_term_forecast出现如下报错 HOT 1
- 请问unified hyperparameter和searched hyperparameter有什么区别呢 HOT 1
- 请问这两行代码的作用是什么? HOT 8
- 关于lab_len HOT 1
- Perhaps the logic errors in the code HOT 1
- 在短期预测读取m4数据 HOT 8
- B, T, N = x.size()出错 HOT 4
- The “freeze_support()” line can be omitted if the program is not going to be frozen to produce an executable. HOT 3
- Forecastability的计算 HOT 1
- 关于模型benchmark脚本文件 HOT 2
- How to add future covariates HOT 9
- Does this TimeMixer support multiple input single output prediction? HOT 4
- no one scripts can be run HOT 1
- 这个问题是怎么造成的呢 HOT 2
- Test Loss: 41927.7059582 ??? With default hyper-parameters HOT 5
- Why does it look terrible in results? (Weather dataset) HOT 1
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