ArmMachineLearningModelFactory.DataQualityMonitoringSignal Method

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.3.0

Source:: ArmMachineLearningModelFactory.cs

Important

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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

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