jing xin

multivariate预测univariate的问题

2

作者你好，首先非常感谢你对informer模型的工作。我目前需要通过multivariate时间序列来预测univariate时间序列，也即MS情况；但作者代码中是将multivariate时间序列最后一列作为预测目标，如exp_informer在209-210左右的内容。 ` f_dim = -1 if self.args.features == 'MS' else 0` `batch_y = batch_y[:, -self.args.pred_len:, f_dim:].to(self.device)` 而我需要解决的问题是，所需要预测的univariate时间序列并不能作为模型的输入，只能用于计算模型的损失函数，因此我比较困惑，在decoder模块应该输入什么数据？

VMD for irregular time series

1

I am currently studying the prediction of irregular time series and hope to improve the prediction accuracy of irregular time series by using decomposition algorithm. However, I find that vmdpy...

开发者你好，我想使用您们提供的attention组件，如self-attention与lstm这种简单模型拼接起来做一个时间序列预测，请问如何进行拼接，以及如何得到各变量的注意力结果？

How to setup river level in anuga

5

I have prepared the elevation data for the basin and the river polygon. However, when I run this code: ` domain.set_quantity('stage', expression='elevation + %f' % 3, polygon=river_polygon)` I encounter the...

RuntimeError in odeint_adjoint

1

Hello, I have run my code by using odeint successfully, however when I use the odeint_adjoint, it comes out the error: `RuntimeError: element 0 of tensors does not require grad...

inconsistent LSTM results in time series forecast between Flux.jl and Lux.jl

1

Hello, I first built an LSTM using Flux.jl, and the prediction results were quite satisfactory. The LSTM written in Flux.jl and the training process are as follows: 1. build LSTM...

Is there currently a feasible way to use NamedTuple or ComponentArray as x0 for Optimization.jl

1

**Question❓** The parameters given in the problem I need to optimize are of type namedtuple, for example: `(model_1=(a=1.0, b=2.0), model_2=(a=2.0,b=3.0)`, The parameters given in the problem I need to optimize...

**Describe the bug 🐞** I used modelingtoolkit.jl to build an ODE problem, with variables including x (typeof(x) is vector) and z. When I directly construct and solve the problem, there...