MultivariateBatchDetectionOptions Class
Detection request for batch inference. This is an asynchronous inference which will need another API to get detection results.
All required parameters must be populated in order to send to Azure.
- Inheritance
-
azure.ai.anomalydetector._model_base.ModelMultivariateBatchDetectionOptions
Constructor
MultivariateBatchDetectionOptions(*args: Any, **kwargs: Any)
Variables
Name | Description |
---|---|
data_source
|
Source link to the input data to indicate an accessible Azure storage Uri, either pointed to an Azure blob storage folder, or pointed to a CSV file in Azure blob storage based on you data schema selection. The data schema should be exactly the same with those used in the training phase. Required. |
top_contributor_count
|
An optional field, which is used to specify the number of top contributed variables for one anomalous timestamp in the response. The default number is 10. Required. |
start_time
|
A required field, indicating the start time of data for detection, which should be date-time of ISO 8601 format. Required. |
end_time
|
A required field, indicating the end time of data for detection, which should be date-time of ISO 8601 format. Required. |
Methods
clear | |
copy | |
get | |
items | |
keys | |
pop | |
popitem | |
setdefault | |
update | |
values |
clear
clear() -> None
copy
copy()
get
get(key: str, default: Any = None) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
Default value: None
|
items
items() -> ItemsView
keys
keys() -> KeysView
pop
pop(key: ~typing.Any, default: ~typing.Any = <object object>) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
|
popitem
popitem() -> Tuple[str, Any]
setdefault
setdefault(key: ~typing.Any, default: ~typing.Any = <object object>) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
|
update
update(*args: Any, **kwargs: Any) -> None
values
values() -> ValuesView
Attributes
data_source
Source link to the input data to indicate an accessible Azure storage Uri, either pointed to an Azure blob storage folder, or pointed to a CSV file in Azure blob storage based on you data schema selection. The data schema should be exactly the same with those used in the training phase. Required.
data_source: str
end_time
A required field, indicating the end time of data for detection, which should be date-time of ISO 8601 format. Required.
end_time: datetime
start_time
A required field, indicating the start time of data for detection, which should be date-time of ISO 8601 format. Required.
start_time: datetime
top_contributor_count
An optional field, which is used to specify the number of top contributed variables for one anomalous timestamp in the response. The default number is 10. Required.
top_contributor_count: int
Azure SDK for Python