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ValueError Traceback (most recent call last) in <cell line: 1>() ----> 1 plot_predictions( 2 model=finetune_forecast_trainer.model, 3 dset=test_dataset, 4 5 plot_dir=os.path.join(OUT_DIR, "bike_sharing"),
9 frames /usr/local/lib/python3.10/dist-packages/tsfm_public/models/tinytimemixer/modeling_tinytimemixer.py in forward(self, base_forecasts, past_values, future_values) 696 697 if self.exogenous_channel_count > 0 and future_values is None: --> 698 raise ValueError("future_values cannot be none when we have exogenous channels.") 699 700 if self.exogenous_channel_count > 0:
ValueError: future_values cannot be none when we have exogenous channels.
although the dataset test_dataset holds future_values
The text was updated successfully, but these errors were encountered:
@omriargaman Thank you for the bug report. We are investigating and will report back.
Sorry, something went wrong.
Please try the latest from main. This will be included in the next release.
Closing for now, please reopen if there is an issue.
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When running plot_predictions with Exogenous Infusion (as provided on example notebook) i get an error message:
ValueError Traceback (most recent call last)
in <cell line: 1>()
----> 1 plot_predictions(
2 model=finetune_forecast_trainer.model,
3 dset=test_dataset,
4
5 plot_dir=os.path.join(OUT_DIR, "bike_sharing"),
9 frames
/usr/local/lib/python3.10/dist-packages/tsfm_public/models/tinytimemixer/modeling_tinytimemixer.py in forward(self, base_forecasts, past_values, future_values)
696
697 if self.exogenous_channel_count > 0 and future_values is None:
--> 698 raise ValueError("future_values cannot be none when we have exogenous channels.")
699
700 if self.exogenous_channel_count > 0:
ValueError: future_values cannot be none when we have exogenous channels.
although the dataset test_dataset holds future_values
The text was updated successfully, but these errors were encountered: