View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs (google_api_ai_platform v0.13.0)

Attributes

baseModelId (type: String.t, default: nil) - 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.
budgetMilliNodeHours (type: String.t, default: nil) - 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).
modelType (type: String.t, default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs{
    baseModelId: String.t() | nil,
    budgetMilliNodeHours: String.t() | nil,
    modelType: String.t() | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.