Class GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
Inheritance
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
Assembly: Google.Apis.Aiplatform.v1beta1.dll
public class GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs : IDirectResponseSchema
Properties
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.
Declaration
[JsonProperty("baseModelId")]
public virtual string BaseModelId { get; set; }
Property Value
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 actual_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).
Declaration
[JsonProperty("budgetMilliNodeHours")]
public virtual long? BudgetMilliNodeHours { get; set; }
Property Value
Declaration
public virtual string ETag { get; set; }
Property Value
Declaration
[JsonProperty("modelType")]
public virtual string ModelType { get; set; }
Property Value
Implements