Oskar Triebe

Same issue here. Please allow us to set ``` opcache.memory_consumption opcache.interned_strings_buffer ``` Thank you!

Hi @dr-prodigy I am happy to contribute everything but the tests...

Thank you @tserekh ! Please let me know when your work is merged!

A similar warning is returned by a test: ``` tests/test_unit.py::test_add_lagged_regressors /home/tabletop/venv/np-dev/lib/python3.10/site-packages/torch/nn/modules/loss.py:922: UserWarning: Using a target size (torch.Size([97])) that is different to the input size (torch.Size([97, 1])). This will likely lead...

closing due to inactivity. We plan to revisit this feature post ligntning transition.

Some improvement ideas: * Use same color schema as in main uncertainty plotting (as in plotly) * require highlight_nth_step_ahead when n_forecasts > 1 and quantiles in use

> Also, should the `m.plot_parameters()` include uncertainty as well or just `m.plot_components(forecast)`? we could allow the user to decide to plot a specific percentile, instead of hard-coding the mean.

Please also remove warnings printouts from the tutorial notebooks.

@karl-richter how did you resolve the plotting utils distinction issue?

Re: Tutorial: - name file Prophet_to_TorchProphet - Disclaimer: ... It allows forecasting practitioners using Prophet to quickly evaluate the feasibility of adopting NeuralProphet. - in section "Identical behaviour": in 'Future...