_fit() method throws ShapeError
Alla-Z opened this issue · comments
Describe the bug
The quick start code throws an exception when run on my panel data frame, specifically in the _fit() method.
The data frame schema is :
OrderedDict([('restaurant_id', UInt64), ('insertdate', Datetime(time_unit='ns', time_zone=None)), ('prep_time', Int64)])
The data frame shape is:
(735_109,3)
The data frame time column is not regularly sampled therefore we ran the resampling method:
trans = resample(freq='1m', agg_method='mean', impute_method='ffill')
y= final_df.pipe(trans).collect()
We tried the forward fill. backward fill, and zeros as an impute method.
Desktop:
- Functime Version [0.9.3]
- Polars Version [0.19.19]
Potentially related to #17
Need to create a MRE and double check whether forecast unit tests are still passing.
Ciao @Alla-Z, hope you are doing alright. Do you think you can manage to create a minimal reproducible example (MRE) to see whether the issue is still present in the latest versions of functime?