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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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A more general question, I am trying to run a historical backtest using TiDE model for my use case:
```
from darts.models import TiDEModel
tide_model = TiDEModel(
input_chunk_length=8,
…
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Hi, thanks for the prompt response regarding issue #2097 . I'm now able to utilize `mc_dropout` in `historical_forecasts`.
My current objective is to incorporate `mc_dropout` for obtaining epistem…
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**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…
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From the documentation above, the function create_lagged_component_names is supposed to return the names of…
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**Issue**
I am training a TSMixerModel to forecast multivariate time series. The model performs well overall, but I notice that the training loss is consistently much lower than the validation loss (…
erl61 updated
2 weeks ago
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I am facing this error when using XGBoost model since i have NaN values in my target TimeSeries object.
```
Check failed: valid: Label contains NaN, infinity or a value too large
```
I have se…
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**Describe the issue linked to the documentation**
I have recreated the example of [https://unit8co.github.io/darts/examples/15-static-covariates.html](url) for static covariants with the XGBoost mod…
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Contenders:
## Survival
**Awareness**: bonus to Breath Saves, Find Traps/Detect Illusions
**Hunting**: Bonus to ranged Damage AND/OR bonus to hide/move silently and trap while outside of cit…
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I am really enjoying Darts. It has a bit of a learning curve but once you get through it, it is a powerful library. However, successful time series modeling requires an extensive number of training ru…