AnomalyDetectorConfigurationRandomCutForest (com.pulumi.aws API)

java.lang.Object
- com.pulumi.aws.amp.outputs.AnomalyDetectorConfigurationRandomCutForest

public final class AnomalyDetectorConfigurationRandomCutForest
extends java.lang.Object

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class AnomalyDetectorConfigurationRandomCutForest.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static AnomalyDetectorConfigurationRandomCutForest.Builder`	`builder()`
`static AnomalyDetectorConfigurationRandomCutForest.Builder`	`builder(AnomalyDetectorConfigurationRandomCutForest defaults)`
`java.util.Optional<AnomalyDetectorConfigurationRandomCutForestIgnoreNearExpectedFromAbove>`	`ignoreNearExpectedFromAbove()`
`java.util.Optional<AnomalyDetectorConfigurationRandomCutForestIgnoreNearExpectedFromBelow>`	`ignoreNearExpectedFromBelow()`
`java.lang.String`	`query()`
`java.util.Optional<java.lang.Integer>`	`sampleSize()`
`java.util.Optional<java.lang.Integer>`	`shingleSize()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - ignoreNearExpectedFromAbove
```
public java.util.Optional<AnomalyDetectorConfigurationRandomCutForestIgnoreNearExpectedFromAbove> ignoreNearExpectedFromAbove()
```
    Returns:
    
    Configuration block for suppressing anomalies when the observed value is slightly above the expected value. See `ignoreNearExpectedFromAbove` below.
  - ignoreNearExpectedFromBelow
```
public java.util.Optional<AnomalyDetectorConfigurationRandomCutForestIgnoreNearExpectedFromBelow> ignoreNearExpectedFromBelow()
```
    Returns:
    
    Configuration block for suppressing anomalies when the observed value is slightly below the expected value. See `ignoreNearExpectedFromBelow` below.
  - query
```
public java.lang.String query()
```
    Returns:
    
    PromQL query used to select the time series for anomaly detection.
  - sampleSize
```
public java.util.Optional<java.lang.Integer> sampleSize()
```
    Returns:
    
    Number of data points used to train the model. Must be at least `256`.
  - shingleSize
```
public java.util.Optional<java.lang.Integer> shingleSize()
```
    Returns:
    
    Number of consecutive data points that form a single input to the model. Must be at least `2`.
  - builder
```
public static AnomalyDetectorConfigurationRandomCutForest.Builder builder()
```
  - builder
```
public static AnomalyDetectorConfigurationRandomCutForest.Builder builder(AnomalyDetectorConfigurationRandomCutForest defaults)
```