View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutomlImageTrainingTunableParameter (google_api_ai_platform v0.13.0)

A wrapper class which contains the tunable parameters in an AutoML Image training job.

Attributes

checkpointName (type: String.t, default: nil) - Optional. An unique name of pretrained model checkpoint provided in model garden, it will be mapped to a GCS location internally.
datasetConfig (type: map(), default: nil) - Customizable dataset settings, used in the model_garden_trainer.
studySpec (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1StudySpec.t, default: nil) - Optioinal. StudySpec of hyperparameter tuning job. Required for model_garden_trainer.
trainerConfig (type: map(), default: nil) - Customizable trainer settings, used in the model_garden_trainer.
trainerType (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.GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutomlImageTrainingTunableParameter{
    checkpointName: String.t() | nil,
    datasetConfig: map() | nil,
    studySpec:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1StudySpec.t() | nil,
    trainerConfig: map() | nil,
    trainerType: String.t() | nil
  }

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.