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Description
Describe the bug
The results produced locally do not match those produced in the CI for RDSTRegressor on Covid3Month.
The expected results seem to be fine for the other dataset and for RDSTClassifier.
Steps/Code to reproduce the bug
from aeon.testing.expected_results.results_reproduction.regressor_results_reproduction import _print_results_for_regressor
_print_results_for_regressor("RDSTRegressor", "Covid3Month")Outputs :
RDSTRegressor - Covid3Month
[
0.0687,
0.071,
0.0227,
0.0425,
0.0834,
0.0251,
0.0064,
0.1398,
0.0667,
0.031,
]Expected results
The test do not fail and results produced locally match those produce in the CI
Actual results
FAILED aeon/testing/tests/test_all_estimators.py::test_all_estimators[check_regressor_against_expected_results(estimator_class=RDSTRegressor)] - AssertionError:
Arrays are not almost equal to 2 decimals
Failed to reproduce results for RDSTRegressor on Covid3Month
Mismatched elements: 6 / 10 (60%)
Max absolute difference: 0.10256623
Max relative difference: 4.7437444
x: array([0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04])
y: array([0.07, 0.07, 0.02, 0.04, 0.08, 0.03, 0.01, 0.14, 0.07, 0.03])Versions
System:
python: 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]
executable: C:\Users\antoine\anaconda3\envs\aeon_dev\python.exe
machine: Windows-10-10.0.22631-SP0
Python dependencies:
aeon: 0.11.1
pip: 23.3.1
setuptools: 68.0.0
scikit-learn: 1.2.2
numpy: 1.24.4
numba: 0.58.1
scipy: 1.11.4
pandas: 2.0.3