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**Describe the issue:**
In my use-case, my search space implementation looks something like:
```
self.block1 = nn.LayerChoice([CustomBlock_kernelsize1(...), CustomBlock_kernelsize2(...), ........…
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Thank you very much for creating this nice package, it was the first proper Python implementation of N4SID I could find online!
We are currently integrating your package in Darts, our time series l…
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**Describe the bug**
I am getting INFO messages that my data are `32-bits`, while I have checked that they are `float64`.
**To Reproduce**
Toy example:
```
import numpy as np
from darts impo…
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The backtest and the historical_forecasts function include a STRIDE parameter, but how can I train a model with the same data samples without a STRIDE parameter.
What if I want to move forward not …
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**Describe the bug**
I want to use a shifted dataset for training. The related usage is the class GenericShiftedDataset. However, I could not find any example to use it. I tried many times but all fa…
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**Describe the bug**
After fitting TCN model, when attempting to backtest program spits out error regarding ```self.encoders.encoding_available```
**Error**
```
AttributeError …
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Hello again,
I just upgraded R package [sentencepiece](https://cran.r-project.org/web/packages/sentencepiece/index.html). which wraps sentencepiece v0.1.96 on CRAN
CRAN checks software on all kind…
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Hi,
First, congrats for the amazing job with this repo.
I experienced that the temporal fusion transformer do not works with GPU but it works well with cpus. I used 3 different computers and I …
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I am using a TCN model with pseudo code as given below
```
model = TCNModel(
input_chunk_length=250,
output_chunk_length=36,
n_epochs=10,
dropout=0,
dilation_base=2,
we…
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I'm confused as to what is actually happening when training a model on multiple series, as described in https://unit8co.github.io/darts/examples/02-multi-time-series-and-covariates.html where a model …