MachineLearningSweepJob Constructors
Definition
Important
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Overloads
MachineLearningSweepJob(MachineLearningObjective, SamplingAlgorithm, BinaryData, MachineLearningTrialComponent)
- Source:
- MachineLearningSweepJob.cs
- Source:
- MachineLearningSweepJob.cs
Initializes a new instance of MachineLearningSweepJob.
public MachineLearningSweepJob (Azure.ResourceManager.MachineLearning.Models.MachineLearningObjective objective, Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm samplingAlgorithm, BinaryData searchSpace, Azure.ResourceManager.MachineLearning.Models.MachineLearningTrialComponent trial);new Azure.ResourceManager.MachineLearning.Models.MachineLearningSweepJob : Azure.ResourceManager.MachineLearning.Models.MachineLearningObjective * Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm * BinaryData * Azure.ResourceManager.MachineLearning.Models.MachineLearningTrialComponent -> Azure.ResourceManager.MachineLearning.Models.MachineLearningSweepJobPublic Sub New (objective As MachineLearningObjective, samplingAlgorithm As SamplingAlgorithm, searchSpace As BinaryData, trial As MachineLearningTrialComponent)Parameters
- objective
- MachineLearningObjective
[Required] Optimization objective.
- samplingAlgorithm
- SamplingAlgorithm
[Required] The hyperparameter sampling algorithm Please note SamplingAlgorithm 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 BayesianSamplingAlgorithm, GridSamplingAlgorithm and RandomSamplingAlgorithm.
- searchSpace
- BinaryData
[Required] A dictionary containing each parameter and its distribution. The dictionary key is the name of the parameter.
[Required] Trial component definition.
Exceptions
objective, samplingAlgorithm, searchSpace or trial is null.
Applies to
MachineLearningSweepJob(BinaryData, SamplingAlgorithm, MachineLearningObjective, MachineLearningTrialComponent)
- Source:
- MachineLearningSweepJob.cs
Initializes a new instance of MachineLearningSweepJob.
public MachineLearningSweepJob (BinaryData searchSpace, Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm samplingAlgorithm, Azure.ResourceManager.MachineLearning.Models.MachineLearningObjective objective, Azure.ResourceManager.MachineLearning.Models.MachineLearningTrialComponent trial);new Azure.ResourceManager.MachineLearning.Models.MachineLearningSweepJob : BinaryData * Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm * Azure.ResourceManager.MachineLearning.Models.MachineLearningObjective * Azure.ResourceManager.MachineLearning.Models.MachineLearningTrialComponent -> Azure.ResourceManager.MachineLearning.Models.MachineLearningSweepJobPublic Sub New (searchSpace As BinaryData, samplingAlgorithm As SamplingAlgorithm, objective As MachineLearningObjective, trial As MachineLearningTrialComponent)Parameters
- searchSpace
- BinaryData
[Required] A dictionary containing each parameter and its distribution. The dictionary key is the name of the parameter.
- samplingAlgorithm
- SamplingAlgorithm
[Required] The hyperparameter sampling algorithm Please note SamplingAlgorithm 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 BayesianSamplingAlgorithm, GridSamplingAlgorithm and RandomSamplingAlgorithm.
- objective
- MachineLearningObjective
[Required] Optimization objective.
[Required] Trial component definition.
Exceptions
searchSpace, samplingAlgorithm, objective or trial is null.
