um_rcs_group: A function to apply an RCS model to log data.
In Dorialexander/UmbertoR: Detection of anomalous events in web logs data.
Description
Usage
Arguments
Value
Description
A function to apply an RCS model to log data.
Usage
1
um_rcs_group(time_sequency, count_log, knots = 3)
Arguments
time_sequency
A vector containing the list of day since the start of the recording.
count_log
A vector of number of visitor per day.
knots
The number of knots fitted to the knots. By default 3. A larger value may better fit log data with a long/complicated history, at the expense of being to overfitted to anomalous episode.
Value
The results of the SVM model.
um_rcs_group(time_sequency, count_log, knots=3)
Dorialexander/UmbertoR documentation built on Feb. 13, 2020, 12:41 a.m.
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Description Usage Arguments Value
Description
A function to apply an RCS model to log data.
Usage
1 | um_rcs_group(time_sequency, count_log, knots = 3)
|
Arguments
time_sequency |
A vector containing the list of day since the start of the recording. |
count_log |
A vector of number of visitor per day. |
knots |
The number of knots fitted to the knots. By default 3. A larger value may better fit log data with a long/complicated history, at the expense of being to overfitted to anomalous episode. |
Value
The results of the SVM model. um_rcs_group(time_sequency, count_log, knots=3)
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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