neuralforecast
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Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
While trying example: https://colab.research.google.com/drive/17EdxZyaBjnlqgV8YK1PXUNccqa_ohvE-#scrollTo=qKLTgZz4B1ex on my local server (anaconda, python 3.7, pytorch installed), two errors related to pandas version popup. Basically neuralforecast and the example are using both attributes 'ignore_index'...
If I am not mistaken, ES-RNN is not included in [auto.py](https://github.com/Nixtla/neuralforecast/blob/main/neuralforecast/auto.py), so a non-ML expert cannot simply use it like N-HiTS in this [example](https://colab.research.google.com/drive/1WjBbQzaivQhOldGolzymOtLmo6QX4Ieg#scrollTo=J_XLz8_z9mBU). IMHO, it would be nice to...
I am using [nhits__example.ipynb](https://colab.research.google.com/drive/1WjBbQzaivQhOldGolzymOtLmo6QX4Ieg#scrollTo=z9YUtuhNdsBA) with my data and CPU. All seem fine, but during training I get: ``` /opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/connectors/data_connector.py:245: PossibleUserWarning: The dataloader, val_dataloader 0, does not have many workers which...
I want to perform an univariate 3-1 Time Series Forecasting, i.e. feed the model with an input of 3 samples and the model to predict the next sample (so horizon...
**Is your feature request related to a problem? Please describe.** We are currently working on a problem where we need to extract the seasonality component of our forecast. With prophet...
Hi I would like to understand about the output of predict method. This is still related with this [code](https://github.com/Nixtla/neuralforecast/issues/262) would you mind elaborating more about the output of predict method...
Hi, I need to forecast a target variable and I have two time series variable as continuous exog variables that can be used to forecast target series for multistep ahead....
Regarding the notebook example titled "nhits_example". Great job commenting and explaining the concepts, it is easy to understand and use. My question is as follows. Although you achieved relatively good...
The `examples/getting_started.ipynb` contains the following cell model = nf.models.nbeats.nbeats.NBEATS( n_time_in=input_size, n_time_out=output_size, n_x=4, n_x_hidden=[4], frequency='W-TUE', seasonality=4 ) However, the NBEATS class doesn't def a `seasonality` constructor kwarg so an error is...
