Class ModelTrainingDetails
Specifies the details of the MSET model during the create call.
Inherited Members
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. |