mdsp anomaly-detection Command¶
Syntax:
mdsp anomaly-detection
Help:
mdsp anomaly-detection --help
Alternative form:
mc anomaly-detection
(The CLI was using mc
as default command name in older versions)
Description¶
train anomaly detection models and detect timeseries anomalies *
Usage¶
Parameter list:
Usage: mdsp anomaly-detection|ad [options]
train anomaly detection models and detect timeseries anomalies *
Options:
-m, --mode [template|train|detect] mode [template | train | detect] (default: "train")
-o, --on [data|asset] on [data | asset] (default: "data")
-d, --data time series data file (default: "timeseries.mdsp.json")
-e, --epsilon threshold distance
-s, --clustersize minimum cluster size
-a, --algorithm [EUCLIDEAN|MANHATTAN|CHEBYSHEV] distance measure algorithm [EUCLIDEAN | MANHATTAN | CHEBYSHEV]
-n, --modelname human-friendly name of the model
-i, --modelid Insights Hub model id
-i, --assetid Insights Hub asset id
-n, --aspectname Insights Hub aspect name
-f, --from begining of the time range
-u, --to end of the time range
-k, --passkey passkey
-y, --retry retry attempts before giving up (default: "3")
-v, --verbose verbose output
-h, --help display help for command
Examples¶
Here are some examples of how to use the mdsp anomaly-detection
command:
Examples:
mdsp ad --mode template --data timeseries.data.mdsp.json
creates a template for a time series data file
mdsp ad --mode train --on data --data timeseries.data.mdsp.json --epsilon 0.5
trains a model on the timeserie specified in the data file
mdsp ad --mode detect --on data --data timeseries.data.mdsp.json --modelid
detects anomalities of the timeseries in the data file using the model with specified id
mdsp ad --mode train --on asset --assetid --aspectname Environment --epsilon 0.5
trains a model on the time series of the aspect "Environment" of the asset with the id
mdsp ad --mode detect --on asset --modelid --assetid --aspectname Environment --epsilon 0.5
detect anomalities of the timeseries on the specified asset and aspect with selected model
See Insights Hub API documentation for more information about Insights Hub APIs.
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