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License: GNU General Public License v3.0
a profiler for time series data - from monitoring data stream to statistical profile
License: GNU General Public License v3.0
Each metric is considered independently at the moment in TSProfiler. Yet it is very likely that the metrics given to the tsprofiler correlate somehow. This metric interdependency should be considered and used in the output profile.
The txmatrix at the moment is updated and represents a statistical model of the overall considered time interval. TSProfiler should consider different patterns and represent the likeliness of a pattern to occur.
The change dimension (needed for non-fixed min/max boundaries) is not working correctly when multiple small extensions of the min/max area appear successively.
Example:
ChangeDimension(
ChangeDimension(map[string][]int64{
"3": []int64{0, 0, 0, 145},
}, models.TSStats{
Min: 50, Max: 55,
}, models.TSStats{
Min: 40, Max: 90,
}, 4),
models.TSStats{
Min: 40, Max: 90,
}, models.TSStats{
Min: 0, Max: 100,
}, 4
)
Result:
map[string][]int64{
// "2": []int64{0, 0, 145, 0}, // THIS IS RIGHT
"3": []int64{0, 0, 0, 145}, // THIS IS WRONG BUT RETURNED!
}
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