does any of the algorithms support unequal length input?
I have time series data with unequal length rows. There is no missing points and hence no need to handle them. I want to perform outlier detection.
Here is a small example of the structure of my data:
timestamp | feature_1 | feature_2 | feature_3 | feature_4 | feature_5 |
---|---|---|---|---|---|
timestamp _1 | 34 | 112 | 24 | 46 | 87 |
timestamp_2 | 99 | 12 | 66 | 16 | |
timestamp _3 | 54 | 19 | |||
timestamp _4 | 1100 |
Does any of the algorithms implemented in PyOD support such input data? If not can you help me by suggesting possible solutions?