You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your feature request related to a problem? Please describe.
The recommended value for the WindowSize parameter of the ForecastBySsa algorithm is unclear. Available samples, as well as the example in official documentation, seem to suggest that the recommended value for WindowSize is equal to the length of the cycle present in the timeseries data. Simple tests reveal that this is not the case, and a good recommended value seems to be WindowSize=cycleLength+1, rather than WindowSize=cycleLength. Even in the documentation example linked above, which uses data with a clear cycle of length 5, the prediction does not work well with WindowSize = 5, but works perfectly with WindowSize = 6.
Describe the solution you'd like
Please clarify if there is a recommended value for WindowSize and if so, update the documentation/samples to convey it clearly.
Describe alternatives you've considered
Checked implementation of the algorithm, publicly available samples using the algorithm, as well as the scientific paper on which the alogirthm is based - didn't get a clear asnwer.
Additional context Documentation example of the related DetectSpikeBySsa algorithm, suggests that the recommended value for SeasonalityWindowSize=cycleLength+1.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
The recommended value for the WindowSize parameter of the ForecastBySsa algorithm is unclear. Available samples, as well as the example in official documentation, seem to suggest that the recommended value for WindowSize is equal to the length of the cycle present in the timeseries data. Simple tests reveal that this is not the case, and a good recommended value seems to be WindowSize=cycleLength+1, rather than WindowSize=cycleLength. Even in the documentation example linked above, which uses data with a clear cycle of length 5, the prediction does not work well with WindowSize = 5, but works perfectly with WindowSize = 6.
Describe the solution you'd like
Please clarify if there is a recommended value for WindowSize and if so, update the documentation/samples to convey it clearly.
Describe alternatives you've considered
Checked implementation of the algorithm, publicly available samples using the algorithm, as well as the scientific paper on which the alogirthm is based - didn't get a clear asnwer.
Additional context
Documentation example of the related DetectSpikeBySsa algorithm, suggests that the recommended value for SeasonalityWindowSize=cycleLength+1.
The text was updated successfully, but these errors were encountered: