Lingua

ArmMachineLearningModelFactory.DataQualityMonitoringSignal Method

Definition

Namespace:
Azure.ResourceManager.MachineLearning.Models
Assembly:
Azure.ResourceManager.MachineLearning.dll
Package:
Azure.ResourceManager.MachineLearning v1.3.0
Source:
ArmMachineLearningModelFactory.cs

The DataQualityMonitoringSignal.

public static Azure.ResourceManager.MachineLearning.Models.DataQualityMonitoringSignal DataQualityMonitoringSignal(System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.MonitoringNotificationType> notificationTypes = default, System.Collections.Generic.IDictionary<string,string> properties = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MonitoringFeatureDataType> featureDataTypeOverride = default, Azure.ResourceManager.MachineLearning.Models.FeatureImportanceSettings featureImportanceSettings = default, Azure.ResourceManager.MachineLearning.Models.MonitoringFeatureFilterBase features = default, System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.DataQualityMetricThresholdBase> metricThresholds = default, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase productionData = default, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase referenceData = default);
static member DataQualityMonitoringSignal : seq<Azure.ResourceManager.MachineLearning.Models.MonitoringNotificationType> * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MonitoringFeatureDataType> * Azure.ResourceManager.MachineLearning.Models.FeatureImportanceSettings * Azure.ResourceManager.MachineLearning.Models.MonitoringFeatureFilterBase * seq<Azure.ResourceManager.MachineLearning.Models.DataQualityMetricThresholdBase> * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase -> Azure.ResourceManager.MachineLearning.Models.DataQualityMonitoringSignal
Public Shared Function DataQualityMonitoringSignal (Optional notificationTypes As IEnumerable(Of MonitoringNotificationType) = Nothing, Optional properties As IDictionary(Of String, String) = Nothing, Optional featureDataTypeOverride As IDictionary(Of String, MonitoringFeatureDataType) = Nothing, Optional featureImportanceSettings As FeatureImportanceSettings = Nothing, Optional features As MonitoringFeatureFilterBase = Nothing, Optional metricThresholds As IEnumerable(Of DataQualityMetricThresholdBase) = Nothing, Optional productionData As MonitoringInputDataBase = Nothing, Optional referenceData As MonitoringInputDataBase = Nothing) As DataQualityMonitoringSignal

Parameters

notificationTypes
IEnumerable<MonitoringNotificationType>

The current notification mode for this signal.

properties
IDictionary<String,String>

Property dictionary. Properties can be added, but not removed or altered.

featureDataTypeOverride
IDictionary<String,MonitoringFeatureDataType>

A dictionary that maps feature names to their respective data types.

featureImportanceSettings
FeatureImportanceSettings

The settings for computing feature importance.

features
MonitoringFeatureFilterBase

The features to calculate drift over.

metricThresholds
IEnumerable<DataQualityMetricThresholdBase>

[Required] A list of metrics to calculate and their associated thresholds.

productionData
MonitoringInputDataBase

[Required] The data produced by the production service which drift will be calculated for.

referenceData
MonitoringInputDataBase

[Required] The data to calculate drift against.

Returns

DataQualityMonitoringSignal

A new DataQualityMonitoringSignal instance for mocking.

Applies to