Comparing
ci-updates
(062d57c
) withmain
(69d4c8f
)0%
- Untouched
- 38
Benchmarks
38 total
test_efficiency[SeasonalWindowAverage]
action_files/test_efficiency.py+2%
156.9 µs154 µs
test_efficiency[AutoARIMA]
action_files/test_efficiency.py+1%
18.3 ms18 ms
test_efficiency[Naive]
action_files/test_efficiency.py+1%
65.8 µs65 µs
test_efficiency[NaNModel]
action_files/test_efficiency.py+1%
57.8 µs57.2 µs
test_efficiency[CrostonClassic]
action_files/test_efficiency.py+1%
218.5 µs216.7 µs
test_efficiency[ZeroModel]
action_files/test_efficiency.py+1%
58.2 µs57.8 µs
test_efficiency[ConstantModel]
action_files/test_efficiency.py+1%
60 µs59.5 µs
test_efficiency[SeasonalNaive]
action_files/test_efficiency.py+1%
115.6 µs114.8 µs
test_efficiency[SimpleExponentialSmoothing]
action_files/test_efficiency.py+1%
92.2 µs91.6 µs
test_efficiency[CrostonSBA]
action_files/test_efficiency.py+1%
220.8 µs219.6 µs
test_efficiency[WindowAverage]
action_files/test_efficiency.py0%
124.9 µs124.3 µs
test_efficiency[ADIDA]
action_files/test_efficiency.py0%
297.2 µs295.9 µs
test_efficiency[Theta]
action_files/test_efficiency.py0%
4.8 ms4.8 ms
test_efficiency[SeasonalExponentialSmoothingOptimized]
action_files/test_efficiency.py0%
478.6 µs476.8 µs
test_efficiency[OptimizedTheta]
action_files/test_efficiency.py0%
5.4 ms5.4 ms
test_efficiency[HistoricAverage]
action_files/test_efficiency.py0%
120.1 µs119.8 µs
test_efficiency[SeasonalExponentialSmoothing]
action_files/test_efficiency.py0%
367.3 µs366.3 µs
test_efficiency[RandomWalkWithDrift]
action_files/test_efficiency.py0%
95 µs94.7 µs
test_efficiency[SimpleExponentialSmoothingOptimized]
action_files/test_efficiency.py0%
138.4 µs138.1 µs
test_efficiency[AutoCES]
action_files/test_efficiency.py0%
3 ms3 ms
test_efficiency[HoltWinters]
action_files/test_efficiency.py0%
280.4 ms280.4 ms
test_efficiency[ARIMA]
action_files/test_efficiency.py0%
3.9 ms3.9 ms
test_efficiency[MSTL]
action_files/test_efficiency.py0%
1.1 s1.1 s
test_efficiency[Holt]
action_files/test_efficiency.py0%
18 ms18 ms
test_efficiency[CrostonOptimized]
action_files/test_efficiency.py0%
300.8 µs300.8 µs
Commits
Click on a commit to change the comparison rangeBase
main
69d4c8f
+0.29%
Merge branch 'main' into ci-updates
a4af23e
2 months ago
by deven367-0.05%
clone repo with submodules
895b192
2 months ago
by deven367-0.12%
sync lock file
17a99ec
2 months ago
by deven367+0.1%
skip `plotly-resampler` for py3.14
fe0edea
2 months ago
by deven367+0.14%
update ray compatibility checks for windows and py3.14+
953845a
2 months ago
by deven367-0.46%
use different versions of numpy for py3.13 and py3.14
d5a1000
2 months ago
by deven367+0.31%
set MPLBACKEND to Agg in pytest workflow
48c48eb
2 months ago
by deven367+0.34%
update `ci` workflow to use `uv`
5a5729e
2 months ago
by deven367-0.12%
update CI workflow to include additional dependencies and enable cpython-prerelease
8315cb9
2 months ago
by deven367+0.09%
add `pytest-cov`
1d00b07
2 months ago
by deven367-0.25%
skip tests for ray for py3.14
297fe0a
2 months ago
by deven367+0.36%
lint and use manual losses instead of `utilsforecast`
903df91
2 months ago
by deven367-0.35%
Merge branch 'main' into ci-updates
acfce64
2 months ago
by elephaint-0.01%
Merge branch 'main' into ci-updates
8d81d6c
1 month ago
by deven367-0.27%
Merge branch 'ci-updates' of https://github.com/Nixtla/statsforecast into ci-updates
ad0f722
1 month ago
by deven367-0.12%
try again with `uv add`
4098178
29 days ago
by deven367+0.29%
move dep to `dev`
cfeaadc
23 days ago
by deven367-0.04%
sync dependencies
57546ab
23 days ago
by deven367-0.06%
pin `pandas<3.0.0`
5105296
23 days ago
by deven367-0.08%
upgrade versions
0089087
22 days ago
by deven367+0.09%
getting rid `plotly` and `polars` groups
062d57c
22 days ago
by deven367