GitHub Actions run
CPU Simulation
1 day ago 113a88f main pushCompare
Suggested base runs:
38 total
test_efficiency[MSTL]
action_files/test_efficiency.py1.1 s
test_efficiency[ADIDA]
action_files/test_efficiency.py294 µs
test_efficiency[MFLES]
action_files/test_efficiency.py7.9 ms
test_efficiency[NaNModel]
action_files/test_efficiency.py57.3 µs
test_efficiency[ARCH]
action_files/test_efficiency.py20.5 ms
test_efficiency[SeasonalWindowAverage]
action_files/test_efficiency.py154.3 µs
test_efficiency[SimpleExponentialSmoothing]
action_files/test_efficiency.py91.4 µs
test_efficiency[ConstantModel]
action_files/test_efficiency.py59.5 µs
test_efficiency[AutoARIMA]
action_files/test_efficiency.py18 ms
test_efficiency[AutoCES]
action_files/test_efficiency.py3 ms
test_efficiency[AutoETS]
action_files/test_efficiency.py409.9 ms
test_efficiency[TSB]
action_files/test_efficiency.py156.9 µs
test_efficiency[SimpleExponentialSmoothingOptimized]
action_files/test_efficiency.py137.6 µs
test_efficiency[WindowAverage]
action_files/test_efficiency.py124.1 µs
test_efficiency[ARIMA]
action_files/test_efficiency.py3.9 ms
test_efficiency[SeasonalExponentialSmoothing]
action_files/test_efficiency.py365.6 µs
test_efficiency[AutoMFLES]
action_files/test_efficiency.py132.5 ms
test_efficiency[AutoRegressive]
action_files/test_efficiency.py155 ms
test_efficiency[AutoTheta]
action_files/test_efficiency.py14.2 ms
test_efficiency[Naive]
action_files/test_efficiency.py65.3 µs
test_efficiency[RandomWalkWithDrift]
action_files/test_efficiency.py94.6 µs
test_efficiency[AutoTBATS]
action_files/test_efficiency.py8.6 s
test_efficiency[TBATS]
action_files/test_efficiency.py209.4 ms
test_efficiency[CrostonClassic]
action_files/test_efficiency.py216.6 µs
test_efficiency[DynamicTheta]
action_files/test_efficiency.py4.8 ms