Get Abnormal Profiles
get
/api/metric/AbnormalProfiles
Gets the abnormal profiles that match the specified query parameters. Abnormal profiles are used by abnormal thresholds and the Metric Abnormal Threshold Engine. If no parameters are specified, all abnormal profiles are returned.
Request
Query Parameters
-
filter: object
The fields to filter the results by. You cannot filter by fields that contain a state.
This parameter's value uses the following JSON format:
{
"property": "property",
"value": "propertyValue",
"operator": "operator",
"conjunction": "conjunction"
}
If you use multiple JSON objects to combine filters, for example, to filter by several different device names, you cannot combine OR and AND conjunctions. The conjunction used for the last object applies to the entire list.-
conjunction:
string
Default Value:
OR
Allowed Values:[ "AND", "OR" ]
The conjunction between filters.Example:AND
-
operator:
string
Default Value:
LIKE
Allowed Values:[ "eq", "ne", "gte", "gt", "lte", "lt", "LIKE", "NOT LIKE", "re", "not re", "NOT IN" ]
The filter operation to use.Example:eq
-
property(required):
string
The name of the field to filter on.Example:
name
-
value(required):
string
The value of the field to filter on.Example:
test
-
conjunction:
string
-
limit: integer(int32)
The number of records to limit results by.Example:
100
-
sort: object
The field and direction to sort results by. You cannot sort by fields that contain a state.
This parameters value uses the following JSON format:
{
"property": "property",
"direction": "direction"
}-
direction(required):
string
Allowed Values:
[ "ASC", "DESC" ]
The direction of the sort.Example:ASC
-
property(required):
string
The field to sort on.Example:
name
-
direction(required):
string
-
start: integer(int32)
The page of results to start from.Default Value:
0
Example:1
There's no request body for this operation.
Back to TopResponse
Supported Media Types
- application/json
200 Response
Successful operation
Nested Schema : SuccessfulGetOperation
Type:
Show Source
object
-
message: string
The response message.Example:
Loaded 1 entries
-
success: boolean
Whether the operation was a success (true) or a failure (false).Example:
true
Nested Schema : type
Type:
Show Source
object
-
data: array
data
-
total: integer
The total number of results regardless of paging.Example:
1
Nested Schema : metricAbnormalProfilesRead
Type:
Show Source
object
-
AbnormalProfileID: integer
Abnormal Profile IDExample:
1
-
AbnormalProfileName: string
Name of abnormal profileExample:
Default Abnormal Profile
-
Alpha: number
The degree to which the confidence bands smooth a weighted average (more weight being given to recent observations, less to older observations). Values are from >0 to 1. The closer to 1 the Alpha value becomes, the closer the predicted value will be to the weighted average of the last n observations.Example:
0.999497
-
Beta: number
The degree to which the smoothing function considers the slope (amount of increase or decrease) of the weighted average of 2 adjacent data points. Values are from >0 to 1. The closer to 1 the Beta value gets, the more the Algorithm will consider the slope of the previous (n-1) data point to the current data point (n) when predicting the next data point (n+1).Example:
0.00224
-
Delta: number
Scaling factor, used to influence the width of the confidence bands generated by the Algorithm. Values are between 2 and 3.Example:
3
-
Epsilon: number
Epsilon scaling. Values are >0 to 1.Example:
0.492391
-
FailureThreshold: integer
Used with Window Length by the Abnormal Thresholding Engine to determine whether to generate a threshold violation event. If Violation Threshold data points fall outside the confidence band within a Window Length number of points, then the data points are considered "abnormal" and an event will be generated.Example:
3
-
Gamma: number
The degree to which the smoothing function considers seasonal data when forecasting a data point. Values are >0 to 1. The closer to 1 Gamma gets, the more the Algorithm will weight seasonal patterns when forecasting expected values.Example:
0.487092
-
WindowLength: integer
Used with Violation Threshold by the Abnormal Thresholding Engine to determine whether to generate a threshold violation event. If Violation Threshold data points fall outside the confidence band within a Window Length number of points, then the data points are considered "abnormal" and an event will be generated. Values are between 0 and 28.Example:
5
Default Response
Failed operation
Root Schema : schema
Type:
Show Source
object
-
errors: array
errors
The list of errors reported. Validation errors will be keyed by record field.
-
message: string
The response message.Example:
Exception thrown
-
success: boolean
Whether the operation was a success (true) or a failure (false).Example:
false
Nested Schema : errors
Type:
array
The list of errors reported. Validation errors will be keyed by record field.
Show Source
Nested Schema : items
Type:
object