ITrainingSettings Interface
Definition
Important
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[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TrainingSettingsTypeConverter))]
public interface ITrainingSettings : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Runtime.IJsonSerializable[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TrainingSettingsTypeConverter))>]
type ITrainingSettings = interface
interface IJsonSerializablePublic Interface ITrainingSettings
Implements IJsonSerializable- Derived
- Attributes
- Implements
Properties
| EnableDnnTraining |
Enable recommendation of DNN models. |
| EnableModelExplainability |
Flag to turn on explainability on best model. |
| EnableOnnxCompatibleModel |
Flag for enabling onnx compatible models. |
| EnableStackEnsemble |
Enable stack ensemble run. |
| EnableVoteEnsemble |
Enable voting ensemble run. |
| EnsembleModelDownloadTimeout |
During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded. Configure this parameter with a higher value than 300 secs, if more time is needed. |
| StackEnsembleSettingStackMetaLearnerKWarg |
Optional parameters to pass to the initializer of the meta-learner. |
| StackEnsembleSettingStackMetaLearnerTrainPercentage |
Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2. |
| StackEnsembleSettingStackMetaLearnerType |
The meta-learner is a model trained on the output of the individual heterogeneous models. |
Methods
| ToJson(JsonObject, SerializationMode) | (Inherited from IJsonSerializable) |