...
| Counter | Value |
|---|---|
| 0 | 8 |
| 1 | 5 |
| 2 | 20 |
| 0 | 4 |
| 1 | 6 |
| 2 | 22 |
This were two sequences, cause because a new sequence starts , if the counter of the next tuple is smaller than the previous counter. Every sequence had three tuples. The output on port 1 would be the following:
| group | meancounter | standardDeviation | value|||||
|---|---|---|---|---|---|---|---|
| 0 | mean | standardDeviation | |||||
| 8.0 | 0.0 | ||||||
| 1 | 5.0 | 0.0 | |||||
| 2 | 20.0 | 0.0 | |||||
| 0 | 6.0 | 2.828 | |||||
| 1 | 5.5 | 0.707 | |||||
| 2 | 21.0 | 1.414 |
Parameters
- parameterAttribute Name of the attribute which should be analysed
- sequencesToLearn The number of (correct) sequencesto learn from. The first x sequences will define the perfect sequence the others are compared to. If set to 0, the operator will not stop to learn (learn infinity sequences). Default is 0.
- GROUP_BY To group the tuples into the single parts of the sequence.
- fastGrouping Use hash code instead of tuple compare to create group. Potentially unsafe!
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