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**Describe the bug**
When `darts.models.forecasting.croston` is run it imports `statsforecast.core`, within which `threadpoolctl.ThreadpoolController()` is created. This then detects that both Intel …
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This is more of a general question than an issue. I apologize if this should be addressed elsewhere.
I am interested in performing mid- to long-term forecasting of a single time series and have bee…
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### Description
It will be good to add MLflow loading and forecasting capability.
@jmoralez
### Use case
To use MLflow to deploy models, this could also be leveraged with ONNX.
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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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https://github.com/alan-turing-institute/sktime
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The goal is to investigate how to implement the `GraphCast` ML model as service:
* Create a new repo containing the solution
* in a Docker container
* on demand
* with GPU enabled if available
* with…
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Shapley explanation works for the whole prediction set, however sometimes one needs to explain every step in the forecasting. This is a complex issue due to using different approaches - direct or recu…
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### Expected behavior
Code:
```
from pytorch_forecasting.models import NBeats, BaseModel
from pytorch_lightning import Trainer, LightningModule
model = NBeats()
trainer.fit(model, train, val…
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# Challenge 22 - XAI for Weather Forecasting Models (Transformer Embeddings)
> **Stream 2 - Machine Learning for Earth Sciences applications**
### Goal
Welcome to the XAI Transformer Embedding …
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Hello Lag Llama team,
I would like to know if Lag Llama models take dates into account when fine-tuning the model and making predictions.
To clarify, I am asking this because I need to understand…