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Add transformation functions from DatasetDict to pytsbe-native long-formatted data source.
DatasetDict
This issue is specifically aimed at avoiding the use of the "save to csv first and then upload files to pytsbe" workaround.
from datasets import load_dataset configs = [ 'australian_electricity_demand', 'bitcoin', 'car_parts', 'cif_2016', 'covid_deaths', 'fred_md', 'hospital', ] dataset_mapping = dict() for config in configs: dataset_mapping[config] = load_dataset('monash_tsf', config)
from colab
The text was updated successfully, but these errors were encountered:
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Add transformation functions from
DatasetDict
to pytsbe-native long-formatted data source.This issue is specifically aimed at avoiding the use of the "save to csv first and then upload files to pytsbe" workaround.
Example of `load_dataset` usecase
from colab
The text was updated successfully, but these errors were encountered: