#SR
| Citekey | RenEtAl2019TimeSeries |
| Source | https://github.com/microsoft/anomalydetector |
| Learning type | unsupervised |
| Input dimensionality | univariate |
A sliding window average is performed on the time series. This parameter defines its window size.
A sliding window average is performed on the time series scores. This parameter defines its window size.
Is called batch-size in code but acts like window size. It's the window size of points transformed by fft.