madtoinou

Hi @pfwnicks, Thank you for reporting this. We'll make sure to include a brief sentence in the docstring of the `multi_models` parameters in all the model to make its impact...

The lags are indeed indexed from the first position in the forecasted period when `multi_models=True`. When `multi_models=False` and the underlying model does not support multi-output prediction, the features array needs...

Hi @Allena101, Running your code snippet returns the expected result: the epochs_trained attributes is `15`. However, if you call `predict()` or `fit()` again, a new PyTorch-Lightning trainer is created and...

It's possible but it becomes with no guarantees about the model attributes "correctness" because a new `Trainer` will be created and some of the model's attributes are going to reference...

I would say that monitoring the loss seems like the best and simplest way to make sure that the training is not starting over and that "fine-tuning/retraining" is indeed happening.

Hi @LouisEchard, This is supported by the `RegressionModel`; see [RegressionModel example notebook](https://unit8co.github.io/darts/examples/20-RegressionModel-examples.html#Using-only-covariates). The features request to extend it to Deep Learning models is tracked here #2151, it's on the roadmap...

Hi @aChatterjee13, It seems like the problem is coming from the lightgbm library. Please check if it's properly installed, or if this error is documented on their side. If you...

This was fixed by #2304, it was caused by the order of the imports.

Hi, I investigated a bit and it appears that the line responsible for the bug is when `n_jobs > 1`: https://github.com/unit8co/darts/blob/46004539b929176396310a9550457b6a14571c74/darts/models/forecasting/forecasting_model.py#L1873C1-L1873C39 However, when the line is deleted, the model in...

Hi @brianreinke95, `gridsearch()` accepts `Callable` in as `metric` argument (no darts/sklearn requirements), however, you custom loss is missing some parts of logic: - the variables passed to the function are...