-
Nice package, I have been looking for methods for heteroskedastic distribution prediction! (see https://github.com/sktime/skpro/issues/7)
More generally, I think `rolch` would fit the scope of skpr…
-
I'm just collecting some projects I notice which may benefit from Narwhals, or who have shown interest
- https://github.com/PRQL/pyprql/issues/374
- https://github.com/FBruzzesi/timebasedcv/issues…
-
There is another issue on python 3.10-3.12, tests crash with this:
```
Windows fatal exception: code 0xc0000374
Thread 0x000002c4 (most recent call first):
File "C:\hostedtoolcache\windows\P…
-
**Is your feature request related to a problem? Please describe.**
sktime currently lacks built-in tools for model explainability, making it difficult for users to interpret and understand the pred…
-
Traceback (most recent call last):
File "/home/li/NeurIPS2023-One-Fits-All-main/Classification/src/main.py", line 31, in
from datasets.data import data_factory, Normalizer
File "/home/li/N…
-
previously discussed here https://github.com/sktime/sktime/issues/6641. This issue is a small part of the large design proposal presented there.
currently all the network files belonging to forecas…
-
@anniegbryant, @benfulcher, I would like to congratulate you to this nice package, I really like the concept and it is quite nicely designed! There are also a lot of useful methods collected! Nice.
…
-
**Is your feature request related to a problem? Please describe.**
In `sktime/annotation/tests/test_base.py`, there is a small test suite for the output conversion methods like `test_sparse_to_dens…
-
Multiple CI - report below CI failures wiht `PytorchForecastingTFT`, I have seen this with python 3.10. FYI @Xinyu-Wu-0000, @benHeid
```
FAILED sktime/forecasting/tests/test_all_forecasters.py::Te…
-
Hi everyone,
Your package looks really good and we're thinking about interfacing your package in sktime to make use of the time series distance functions you provide, and potentially also the clus…