Just a guess, but based on the error, it looks lik...
# generalb
Brian Head
10/15/2023, 5:35 PMJust a guess, but based on the error, it looks like you are trying to use their TimeGPT which requires a token. If you just want to run a naive model use Nixtla statsforcast package. They have a walkthrough tutorial here: https://nixtla.github.io/statsforecast/docs/getting-started/getting_started_complete.html
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Xiaolong Luo
10/15/2023, 8:45 PMHi Brian, thanks for the comment.
Xiaolong Luo
10/15/2023, 8:46 PMIndeed, I was trying to try there TimeGPT. How do I get the token?
Xiaolong Luo
10/15/2023, 8:48 PMThe Nixtla statsforcast package also ran into some issues:
Copy code
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ImportError Traceback (most recent call last)
/tmp/ipykernel_6602/831170903.py in <module>
1 import pandas as pd
2
----> 3 Y_df = pd.read_parquet('<https://datasets-nixtla.s3.amazonaws.com/m4-hourly.parquet>')
4
5 Y_df.head()
~/anaconda3/lib/python3.9/site-packages/pandas/io/parquet.py in read_parquet(path, engine, columns, storage_options, use_nullable_dtypes, **kwargs)
491 **kwargs,
492 )
--> 493
494 if path is None:
495 assert isinstance(path_or_buf, io.BytesIO)
~/anaconda3/lib/python3.9/site-packages/pandas/io/parquet.py in get_engine(engine)
51 """return our implementation"""
52 if engine == "auto":
---> 53 engine = get_option("io.parquet.engine")
54
55 if engine == "auto":
ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.
A suitable version of pyarrow or fastparquet is required for parquet support.
Trying to import the above resulted in these errors:
- No module named 'pandas.core.arrays._arrow_utils'
- Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.Xiaolong Luo
10/15/2023, 9:16 PMIt appears many people had the same issue. Sent an email to request a token ...