GitHub Actions run
CPU Simulation
2 days ago 19541ee main pushCompare
Suggested base runs:
38 total
test_efficiency[MSTL]
action_files/test_efficiency.py1.1 s
test_efficiency[IMAPA]
action_files/test_efficiency.py336 µs
test_efficiency[SimpleExponentialSmoothingOptimized]
action_files/test_efficiency.py137.7 µs
test_efficiency[AutoARIMA]
action_files/test_efficiency.py18 ms
test_efficiency[SeasonalExponentialSmoothingOptimized]
action_files/test_efficiency.py476.6 µs
test_efficiency[ADIDA]
action_files/test_efficiency.py296.3 µs
test_efficiency[Theta]
action_files/test_efficiency.py4.8 ms
test_efficiency[ARIMA]
action_files/test_efficiency.py3.9 ms
test_efficiency[Naive]
action_files/test_efficiency.py65.3 µs
test_efficiency[MFLES]
action_files/test_efficiency.py7.9 ms
test_efficiency[SimpleExponentialSmoothing]
action_files/test_efficiency.py91.5 µs
test_efficiency[ARCH]
action_files/test_efficiency.py20.5 ms
test_efficiency[AutoRegressive]
action_files/test_efficiency.py155 ms
test_efficiency[OptimizedTheta]
action_files/test_efficiency.py5.4 ms
test_efficiency[SeasonalExponentialSmoothing]
action_files/test_efficiency.py365.2 µs
test_efficiency[AutoETS]
action_files/test_efficiency.py409.7 ms
test_efficiency[CrostonOptimized]
action_files/test_efficiency.py300.3 µs
test_efficiency[NaNModel]
action_files/test_efficiency.py57.1 µs
test_efficiency[AutoMFLES]
action_files/test_efficiency.py132.4 ms
test_efficiency[SeasonalNaive]
action_files/test_efficiency.py115 µs
test_efficiency[SeasonalWindowAverage]
action_files/test_efficiency.py153.9 µs
test_efficiency[DynamicTheta]
action_files/test_efficiency.py4.8 ms
test_efficiency[AutoCES]
action_files/test_efficiency.py3 ms
test_efficiency[AutoTBATS]
action_files/test_efficiency.py8.6 s
test_efficiency[TSB]
action_files/test_efficiency.py157.5 µs