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The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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This repository contains the extracted time series features (tsfeatures) for each variate and the detailed forecasting results for every experiment.

Note: These files are for building leaderboard and visualization; users do not need to download this directory.

  • features/: Statistical Features (tsfeatures)

    Each dataset's features are saved to: output/features/{dataset}/{freq}/. This directory stores the computed tsfeatures for the variates in the dataset. The folder contains a CSV file named either:

    • test.csv: Features calculated on the test split.
    • full.csv: Features calculated on the full dataset.
  • results/: Experimental Results

    Each experiment is saved to: output/results/{model}/{dataset}/{freq}/{horizon}/. Each directory represents a specific model-dataset-frequency-horizon combination and contains the following files:

    • config.json: The experiment settings and hyperparameters.
    • metrics.npz: Window-level forecasting metrics (e.g., MASE, CRPS).
    • predictions.npz: Quantile prediction results for each sliding window.
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