-
- \_ Is refactor
- \X Is new feature
- \_ Concerns documentation
# Description of suggestion or shortcoming:
From perusing the documentation and trying out various things, Squiggle seems t…
-
Hi,
I'm trying to use the following model:
```python
model = MOMENTPipeline.from_pretrained(
"AutonLab/MOMENT-1-large",
model_kwargs={
'task_name': 'classification',
…
-
How to pre-train the lag-llama model with multivariate time series data?
For example:
num_time_steps = 300
data = [
{
"start": pd.Timestamp("2020-01-01", freq="D"),
"targ…
-
It would be awesome if we can use `thermox.log_prob` and gradient ascent to fit a multivariate [Vasicek model](https://en.wikipedia.org/wiki/Vasicek_model) to some real data
-
## Proposal
Typically, interrupted time series (ITS) designs are univariate in that there is a single outcome variable. An existing example in the docs examines the causal impact of the onset of covi…
-
It doesn't seem that synthetic control can manage multiple features per unit (i.e. can't manage other than the target outcome per each unit under treatment).
Is this functionality considered for f…
-
Hello. As I understand from your paper and discussions in the repository, the model is trained to predict each time series independently of other time series.
So, let's say if we have three paramet…
-
Hello,
Thank you very much for disseminating openly your work and code.
I am trying to reproduce the classification notebook. It seems there is a bug in the ClassificationDataset class when loa…
-
Hi, I am trying to do a Multivariate Time Series Classification with PatchTST. Can someone provide me with an example?
-
It should be possible to combine themes for multiple fields, e.g. theme a categorical and a graduate field.