I did installation before as: pip install neuralforecast do i still need to run below? pip install git+https://github.com/Nixtla/neuralforecast.git@nbeats_predict

I think that branch was already merged, can you tried without it?

will try it.

let me know

I got the same error when run:

Y_df, _, _ = LongHorizon.load(directory='./', group='ETTm2')

I am unable to replicate the ignore_index problem

Do you have the latest neuralforecast version @Musa?

I installed neuralforecast via pip last week: pip install neuralforecast

print (nf.version) gives 0.1.0

I was unable to replicate the 'ignore_index' bug in my runs of the N-HiTS Colab Example I don't know if Colab can vary in its execution of pandas versions

Here is the original code for the Long horizon datasets: https://github.com/Nixtla/neuralforecast/blob/main/nbs/data_datasets__long_horizon.ipynb

I am checking on google if any similar issue. pandas version might be a good point as well. Thanks.

guess it is related to pandas version.. https://discuss.streamlit.io/t/streamlit-typeerror-sort-index-got-an-unexpected-keyword-argument-ignore-index/15960 but after i upgrade pandas to the latest.. it start giving another issue when import neuralforecast as nf module 'pandas' has no attribute 'Panel' panel might has been removed from Pandas module 0.25.0 onwards. https://stackoverflow.com/questions/65600306/module-pandas-has-no-attribute-panel what pandas version is neuralforecast using?

interestingly, the example need both 'Panel' and 'ignore_index' from pandas. while 'Panel' was removed since version 0.25.0, 'ignore_index' was added to DataFrame.sort_values() since version 1.0.0 onward. so logically these two requirements can not be fulfilled both no matter what version pandas to be installed. Not sure how the colab setup the dependency to make it work.. I was confused.

opened an issue: https://github.com/Nixtla/neuralforecast/issues/270

Hi, when I try on colab below statement: 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 ) got an error: TypeError: __init__() got an unexpected keyword argument 'seasonality' any idea about the issue? Thanks. https://github.com/Nixtla/neuralforecast/blob/main/examples/getting_started.ipynb

Thanks @Musa, I will try to correct it soon Meanwhile can you take a look to this Colab example.

Thanks @Kin Gtz. Olivares

The 'Nixtla/hierarchicalforecast' repository doesn't contain the 'examples/TourismSmall.ipynb' path in 'main'. The example notebook is not available, pls update

Have you tried thid one: https://github.com/Nixtla/hierarchicalforecast/blob/main/nbs/examples/TourismSmall.ipynb

Worked! thanks! Huge fan of neuralforecast package, I have been working on Hierarchical Time Series for a long time, looking forward to trying this package and seeing the results 🙂

Thanks Arjun! Happy to help

Please let us know what your thoughts are after trying it out.

Hi team! What version of pytorch-lightning are you guys using? The latest (v1.7.4) seem to have removed progress_bar_refresh_rate constructor parameter in pl.Trainer. NHITS in neuralforecast 0.1.0 is still using this parameter. Should I downgrade pytorch-lightning?

Neural Prophet goes conformal - here is the branch and notebook https://github.com/ourownstory/neural_prophet/blob/conformal-prediction/tutorials/feature-use/conformal_prediction_energy_hospital_load.ipynb

Hello Team, I am a newbie, and Sorry if this is a naive question. Could you please let me know if I can use N-Hits, N-BEATSx, and N-BEATS for the Global time series (Using multiple time series to fit the forecasting model) forecasting?

Hi, I am unable to find any installation instructions for the neural-forecast. I am referring to this page: https://nixtla.github.io/neuralforecast/#tutorial-1-installation-and-introduction Is there a different page that I should refer to?

Hello, I am trying to run the getting_started.ipynb file. I am getting the below error. I tried commenting seasonality param and the cell runs fine. Is this the correct way of overcoming the issue.

Hi team, first of all, I think nhits is a great tool to work with, so, thank you for getting this out! Unfortunately, I am having trouble here and there with the documentation. I am trying to bring in holidays as exogenous data as we have more demand on those but I don't get to shape X_df correctly. I am following this colab. I am using Y_df=final_df[['unique_id', 'ds', 'y', 'time_index']] and X_df=final_df[['unique_id', 'ds', 'is_holiday']], but it throws me an error (ERRORhyperopt.fminjob exception: mat1 and mat2 shapes cannot be multiplied (154x91 and 49x256)). Also later on I want to use holiday names, as we have less contracts, eg over Christmas than over Labor Day. Would I just onehotencode those days? And how to shape that. I would appreciate some hints or pointing me at documentation where to find how X_df has to look like or any or all of it 🙂 Thanks!