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I came across the need to implement forecasting methods at my work place. After doing some research, I realized that we even have this functionality in [excel](http://www.real-statistics.com/time-seri…
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**Describe the bug**
Imputation method fails when `missing_values=[np.inf]` and `method="drift"` is set.
**To Reproduce**
```python
from sktime.datasets import load_airline
from sktime.t…
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I am running into an issue related to the type of data I am using. I built a new data class that preprocesses data into the same dataframe format and indexing as the provided examples (appending repea…
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Apologies if this capability already exists, I went through the examples, issues (like #1095) and discussions but couldnt figure out an existing way of (satisfactorily) doing this.
## Description
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Following the initial refactor of parallel backends to a central location, to enable use of multiple backends, we can in-principle unlock multi-backend functionality in multiple locations.
The most…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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# User Story
As a machine learning developer, I want to use machine learning or deep learning to predict the direction of any crypto-asset (i.e. btc_usdt), so that I can develop ML-based indicators…
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I've fully experimented with their code taking up CPU memory issues. It is evident that the CPU memory decreases gradually when the program is running. Fortunately, their process will not be killed be…
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It would be nice to have a clean implementation of the "official" EnbPI algorithms in `sktime` or `skpro`. While we do have conformal prediction algorithms, these are not the "originals".
Some of t…
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- PyTorch-Forecasting version: 0.10.2
- PyTorch version: 1.11.0
- Python version: 3.10.5
- Operating System: macOS 12.4
I have a multi-target regression problem where I currently use MAE loss fo…