| Description | : This operation generates a model using the points that you sent into the API, and based on all data to determine whether the last point is anomalous. The latest point detecting operation matches the scenario of real-time monitoring of business metrics. |
| Reference | : Link ¶ |
⚼ Request
POST:
/timeseries/entire/detect
{
body:
}
{
,
series:
[
]
,
{
,
timestamp:
string
,
value:
number
,
}
granularity:
enum
,
customInterval:
integer
,
period:
integer
,
maxAnomalyRatio:
number
,
sensitivity:
integer
,
imputeMode:
enum
,
imputeFixedValue:
number
,
}
⚐ Response (200)
{
period:
integer
,
expectedValues:
[
,
number
,
]
upperMargins:
[
,
number
,
]
lowerMargins:
[
,
number
,
]
isAnomaly:
[
,
boolean
,
]
isNegativeAnomaly:
[
,
boolean
,
]
isPositiveAnomaly:
[
,
boolean
,
]
severity:
}
[
,
number
,
]
⚐ Response (default)
{
$headers:
{
,
x-ms-error-code:
string
,
}
$schema:
}
{
,
code:
enum
,
message:
string
,
}