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Hi,
I have written a small piece of code that generates multivariate real-time vintages merging ```FredData.jl``` output and unrevised data (stored in an Excel file). I am unsure on whether I shoul…
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Hi! We're implementing some transformer architectures like [Gated Transformer Networks for Multivariate Time Series Classification](https://arxiv.org/abs/2103.14438). Are you interested in pulling mor…
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Hi, I want to run this network with my own data set, but my file is a txt file like solar-energy, which is used to do multivariate time series prediction
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`AbstractAlgebra.jl` cannot be used. For multivariate rings, this package only supports Integers and Rationals.
![image](https://user-images.githubusercontent.com/27089492/154770771-1f1b1246-15a9-4a…
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```
It would be nice to have a moran explorer that has two histograms, one
scatterplot, two univariate maps, and one multivariate map, for exploring
spatial dependence.
```
Original issue reported …
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Hi!author.
Thank you for all your work. I plan to use the model you proposed for time series data augmentation. But I have a question to consult with you.
My task is a multivariate prediction and un…
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We build an implantation of polynomials as formal sum of exponents. This allows to work on any number of variables with some easy morphism. We use some actions of Weyl group on the exponents to crea…
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Let's say I have a GP with `n` training points. How to compute the `nxn` covariance matrix on the training data with the posterior GP.
```
def fit_full_model(train_X, train_Y):
train_Yvar = t…
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### Description
Currently the GCN-LSTM model has a built in decoder to map from the underlying LSTM sequence to a `batch x nodes` tensors (or, with #1580, `batch x nodes x input variates`). However…
huonw updated
4 years ago
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Is it possible fit scOU models in which the configuration of shifts is defined by the user? I assume this is possible but it does not seem to be implemented. This could be a cool way to explore explic…