Kashif Rasul

We will add a csv example but for now you can follow the gluonts tutorial for reading such a dataset: https://ts.gluon.ai/stable/tutorials/data_manipulation/pandasdataframes.html

@saikrishna-1996 i belivie if you pull you should not see this issue

also as an experiment try the estimator with the [linear-rope positional embedding](https://arxiv.org/pdf/2306.15595.pdf) via: ```python estimator = LagLlamaEstimator( ckpt_path="lag-llama.ckpt", prediction_length=prediction_length, context_length=context_length, # estimator args input_size=estimator_args["input_size"], n_layer=estimator_args["n_layer"], n_embd_per_head=estimator_args["n_embd_per_head"], n_head=estimator_args["n_head"], scaling=estimator_args["scaling"], time_feat=estimator_args["time_feat"], rope_scaling={...

coming up after a short recoup! stay tuned. Essentially since its a gluonts Estimator, one should be able to `estimator.train()` on your data but we need to remove some bespoke...

@zhilif have a look at the colab https://colab.research.google.com/drive/1uvTmh-pe1zO5TeaaRVDdoEWJ5dFDI-pA?usp=sharing

@shahrokhvahabi try to git pull, I believe its somehow running an older code

@shahrokhvahabi its due to the newer lightning version you have... so try do to: ``` !pip uninstall -A gluonts !pip install -U gluonts[torch] ```

ah sorry i meant to say: ``` !pip uninstall -A lightning pytorch-lightning gluonts !pip install -U gluonts[torch] ```

yeah not sure what more i can do... somehow your setup is sucking in a newer version of lightning perhaps ``` !pip install lightning==2.1.4 pytorch-lightning==2.1.4 ```

make a new issue instead of hijacking this one as the original author is getting spammed unnecessarily closing this