Class AutoMlImageSegmentationInputs

public sealed class AutoMlImageSegmentationInputs : IMessage<AutoMlImageSegmentationInputs>, IEquatable<AutoMlImageSegmentationInputs>, IDeepCloneable<AutoMlImageSegmentationInputs>, IBufferMessage, IMessage

Inheritance

Object > AutoMlImageSegmentationInputs

Namespace

Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

AutoMlImageSegmentationInputs()

public AutoMlImageSegmentationInputs()

AutoMlImageSegmentationInputs(AutoMlImageSegmentationInputs)

public AutoMlImageSegmentationInputs(AutoMlImageSegmentationInputs other)
Parameter
NameDescription
otherAutoMlImageSegmentationInputs

Properties

BaseModelId

public string BaseModelId { get; set; }

The ID of the base model. If it is specified, the new model will be trained based on the base model. Otherwise, the new model will be trained from scratch. The base model must be in the same Project and Location as the new Model to train, and have the same modelType.

Property Value
TypeDescription
String

BudgetMilliNodeHours

public long BudgetMilliNodeHours { get; set; }

The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be model-converged. Note, node_hour = actual_hour * number_of_nodes_involved. Or actaul_wall_clock_hours = train_budget_milli_node_hours / (number_of_nodes_involved * 1000) For modelType cloud-high-accuracy-1(default), the budget must be between 20,000 and 2,000,000 milli node hours, inclusive. The default value is 192,000 which represents one day in wall time (1000 milli * 24 hours * 8 nodes).

Property Value
TypeDescription
Int64

ModelType

public AutoMlImageSegmentationInputs.Types.ModelType ModelType { get; set; }
Property Value
TypeDescription
AutoMlImageSegmentationInputs.Types.ModelType