Class ModelTrainingDetails

Specifies the details of the MSET model during the create call.

Inheritance

object

ModelTrainingDetails

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Oci.AianomalydetectionService.Models

Assembly: OCI.DotNetSDK.Aianomalydetection.dll

Syntax

public class ModelTrainingDetails

Properties

AlgorithmHint

Declaration

[JsonProperty(PropertyName = "algorithmHint")]
[JsonConverter(typeof(ResponseEnumConverter))]
public ModelTrainingDetails.AlgorithmHintEnum? AlgorithmHint { get; set; }

Property Value

Type	Description
ModelTrainingDetails.AlgorithmHintEnum?	User can choose specific algorithm for training.

DataAssetIds

Declaration

[Required(ErrorMessage = "DataAssetIds is required.")]
[JsonProperty(PropertyName = "dataAssetIds")]
public List<string> DataAssetIds { get; set; }

Property Value

Type	Description
List<string>	The list of OCIDs of the data assets to train the model. The dataAssets have to be in the same project where the ai model would reside.

Remarks

Required

TargetFap

Declaration

[JsonProperty(PropertyName = "targetFap")]
public float? TargetFap { get; set; }

Property Value

Type	Description
float?	A target model accuracy metric user provides as their requirement

TrainingFraction

Declaration

[JsonProperty(PropertyName = "trainingFraction")]
public float? TrainingFraction { get; set; }

Property Value

Type	Description
float?	Fraction of total data that is used for training the model. The remaining is used for validation of the model.

WindowSize

Declaration

[JsonProperty(PropertyName = "windowSize")]
public int? WindowSize { get; set; }

Property Value

Type	Description
int?	This value would determine the window size of the training algorithm.