PredictionDriftMonitoringSignal Constructors
Definition
Important
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Overloads
PredictionDriftMonitoringSignal(IEnumerable<PredictionDriftMetricThresholdBase>, MonitoringInputDataBase, MonitoringInputDataBase)
Initializes a new instance of PredictionDriftMonitoringSignal.
public PredictionDriftMonitoringSignal (System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> metricThresholds, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase productionData, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase referenceData);
new Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal : seq<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase -> Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal
Public Sub New (metricThresholds As IEnumerable(Of PredictionDriftMetricThresholdBase), productionData As MonitoringInputDataBase, referenceData As MonitoringInputDataBase)
Parameters
- metricThresholds
- IEnumerable<PredictionDriftMetricThresholdBase>
[Required] A list of metrics to calculate and their associated thresholds. Please note PredictionDriftMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalPredictionDriftMetricThreshold and NumericalPredictionDriftMetricThreshold.
- productionData
- MonitoringInputDataBase
[Required] The data which drift will be calculated for. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, RollingInputData and StaticInputData.
- referenceData
- MonitoringInputDataBase
[Required] The data to calculate drift against. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, RollingInputData and StaticInputData.
Exceptions
metricThresholds
, productionData
or referenceData
is null.
Applies to
PredictionDriftMonitoringSignal(IEnumerable<PredictionDriftMetricThresholdBase>, MonitoringModelType, MonitoringInputDataBase, MonitoringInputDataBase)
Initializes a new instance of PredictionDriftMonitoringSignal.
public PredictionDriftMonitoringSignal (System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> metricThresholds, Azure.ResourceManager.MachineLearning.Models.MonitoringModelType modelType, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase productionData, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase referenceData);
new Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal : seq<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> * Azure.ResourceManager.MachineLearning.Models.MonitoringModelType * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase -> Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal
Public Sub New (metricThresholds As IEnumerable(Of PredictionDriftMetricThresholdBase), modelType As MonitoringModelType, productionData As MonitoringInputDataBase, referenceData As MonitoringInputDataBase)
Parameters
- metricThresholds
- IEnumerable<PredictionDriftMetricThresholdBase>
[Required] A list of metrics to calculate and their associated thresholds. Please note PredictionDriftMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalPredictionDriftMetricThreshold and NumericalPredictionDriftMetricThreshold.
- modelType
- MonitoringModelType
[Required] The type of the model monitored.
- productionData
- MonitoringInputDataBase
[Required] The data which drift will be calculated for. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, StaticInputData and TrailingInputData.
- referenceData
- MonitoringInputDataBase
[Required] The data to calculate drift against. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, StaticInputData and TrailingInputData.
Exceptions
metricThresholds
, productionData
or referenceData
is null.
Applies to
Azure SDK for .NET