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```
sample_train_df = train_df.loc[train_df.LCLid == "MAC000193", :]
sample_test_df = test_df.loc[test_df.LCLid == "MAC000193", :]
# display(sample_train_df)
train_features, train_target, train_…
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## Arxiv/Blog/Paper Link
https://arxiv.org/abs/2312.15796
## Detailed Description
A diffusion-based approach to weather forecasting, that is quite stable autoregressively. Probably fits in more …
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### Ticket Contents
## Protean Overview
Protean eGov Technologies Limited provides IT services. The Company offers citizen services, e-governance solutions, system integration, business process re…
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**Describe the bug**
Croston cannot handle exogenous variables, but is marked as if it can.
**To Reproduce**
Example returns the tag "ignores-exogeneous-X".
```python
from sktime.forecasting.…
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**Lack of integration demo between Darts and Gradio**
Darts is becoming popular for timeseries forecasting. Currently there are no publicly available examples how to integrate Darts with Gradio demo …
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**Is your feature request related to a problem? Please describe.**
In deep learning-based time series forecasting, a model is often trained on multiple time series (e.g. Hourly Subset of the M4 Compe…
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### Dataset Description
We aim to implements the StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks model. To reproduce the results, we must implement the …
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Hi, thanks for developing this benchmark.
I've noticed that some forecasting questions are not meaningful without the context of the current time.
For example:
* 'Is growth in J&J's adjusted E…
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**Reviewer 1 comments:**
- In section 1.3
- Warnings should not be ignored.
- In section 3
- After every PMMLPredict results result_lr, result_rf dataframes are converted to pandas df for plot…
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We should write up a math definition of terms/tasks: grouped forecasting, hierarchical forecasting, panel forecasting, global forecasting.
There is some ambiguitiy on meaning, and some of these may…