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[FEAT] Adds different distributions for fitting models

#1103
Comparing
feat/fit_different_distributions
(
979c56d
) with
main
(
a0ef3f4
)
CodSpeed Performance Gauge
-1%
Untouched
38

Benchmarks

38 total
test_efficiency[SeasonalNaive]
action_files/test_efficiency.py
CodSpeed Performance Gauge
+1%
116 µs115 µs
test_efficiency[AutoCES]
action_files/test_efficiency.py
CodSpeed Performance Gauge
+1%
3 ms3 ms
test_efficiency[ADIDA]
action_files/test_efficiency.py
CodSpeed Performance Gauge
+1%
295 µs292.9 µs
test_efficiency[SeasonalExponentialSmoothingOptimized]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
480.7 µs478.4 µs
test_efficiency[SeasonalExponentialSmoothing]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
368.4 µs367.2 µs
test_efficiency[AutoRegressive]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
155.2 ms154.9 ms
test_efficiency[SimpleExponentialSmoothingOptimized]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
138 µs137.7 µs
test_efficiency[ARCH]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
20.5 ms20.5 ms
test_efficiency[SimpleExponentialSmoothing]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
91.4 µs91.4 µs
test_efficiency[HoltWinters]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
280.5 ms280.3 ms
test_efficiency[TBATS]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
209.7 ms209.6 ms
test_efficiency[Holt]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
18 ms18 ms
test_efficiency[MSTL]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
1.1 s1.1 s
test_efficiency[AutoETS]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
409.8 ms409.8 ms
test_efficiency[HistoricAverage]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
119.8 µs119.8 µs
test_efficiency[AutoMFLES]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
132.5 ms132.6 ms
test_efficiency[AutoTBATS]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
8.6 s8.6 s
test_efficiency[GARCH]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
22.3 ms22.3 ms
test_efficiency[AutoARIMA]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
18 ms18 ms
test_efficiency[ConstantModel]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
59.6 µs59.7 µs
test_efficiency[NaNModel]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
57.3 µs57.4 µs
test_efficiency[ARIMA]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
3.9 ms3.9 ms
test_efficiency[RandomWalkWithDrift]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
94.6 µs94.9 µs
test_efficiency[CrostonClassic]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
215.9 µs216.5 µs
test_efficiency[Naive]
action_files/test_efficiency.py
CodSpeed Performance Gauge
0%
65 µs65.2 µs

Commits

Click on a commit to change the comparison range
Base
main
a0ef3f4
-31.68%
First implementation of different distributions
e543154
5 days ago
by nasaul
+14.11%
Merge branch 'main' into feat/fit_different_distributions
d00a638
5 days ago
by nasaul
+17.06%
Update
979c56d
5 days ago
by nasaul
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