Partager via

UnivariateChangePointDetectionOptions Class

  • Reference

The request of change point detection.

All required parameters must be populated in order to send to Azure.

Inheritance
azure.ai.anomalydetector._model_base.Model
UnivariateChangePointDetectionOptions

Constructor

UnivariateChangePointDetectionOptions(*args: Any, **kwargs: Any)

Variables

Name Description
series
list[TimeSeriesPoint]

Time series data points. Points should be sorted by timestamp in ascending order to match the change point detection result. Required.
granularity
str or TimeGranularity

Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly. Granularity is used for verify whether input series is valid. Required. Known values are: "yearly", "monthly", "weekly", "daily", "hourly", "minutely", "secondly", "microsecond", and "none".
custom_interval
int

Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.
period
int

Optional argument, periodic value of a time series. If the value is null or does not present, the API will determine the period automatically.
stable_trend_window
int

Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection.
threshold
float

Optional argument, advanced model parameter, between 0.0-1.0, the lower the value is, the larger the trend error will be which means less change point will be accepted.

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

custom_interval

Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.

custom_interval: int | None

granularity

Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly. Granularity is used for verify whether input series is valid. Required. Known values are: "yearly", "monthly", "weekly", "daily", "hourly", "minutely", "secondly", "microsecond", and "none".

granularity: str | _models.TimeGranularity

period

Optional argument, periodic value of a time series. If the value is null or does not present, the API will determine the period automatically.

period: int | None

series

Time series data points. Points should be sorted by timestamp in ascending order to match the change point detection result. Required.

series: List[_models.TimeSeriesPoint]

stable_trend_window

Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection.

stable_trend_window: int | None

threshold

Optional argument, advanced model parameter, between 0.0-1.0, the lower the value is, the larger the trend error will be which means less change point will be accepted.

threshold: float | None