anomaly_detector: detects rhw anomalies and returns a dataframw with cleaned...
In PVplr: Performance Loss Rate Analysis Pipeline
anomaly_detector R Documentation
detects rhw anomalies and returns a dataframw with cleaned and anom_flag column
Description
detects rhw anomalies and returns a dataframw with cleaned and anom_flag column
Usage
anomaly_detector(df, batch_days = 90)
Arguments
df
the strucutred data
batch_days
the batch of data that the anomaly detection is applied. Since time series decomposition is used,
one seasonality will be applied for whole data which is inefficeint, if NA, will pass whole
Value
data with anomalies
Author(s)
Arash Khalilnejad
PVplr documentation built on Feb. 16, 2023, 9:56 p.m.
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| anomaly_detector | R Documentation |
detects rhw anomalies and returns a dataframw with cleaned and anom_flag column
Description
detects rhw anomalies and returns a dataframw with cleaned and anom_flag column
Usage
anomaly_detector(df, batch_days = 90)
Arguments
df |
the strucutred data |
batch_days |
the batch of data that the anomaly detection is applied. Since time series decomposition is used, one seasonality will be applied for whole data which is inefficeint, if NA, will pass whole |
Value
data with anomalies
Author(s)
Arash Khalilnejad
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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