View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ActiveLearningConfig (google_api_ai_platform v0.13.0)

Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

Attributes

maxDataItemCount (type: String.t, default: nil) - Max number of human labeled DataItems.
maxDataItemPercentage (type: integer(), default: nil) - Max percent of total DataItems for human labeling.
sampleConfig (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SampleConfig.t, default: nil) - Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
trainingConfig (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1TrainingConfig.t, default: nil) - CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ActiveLearningConfig{
    maxDataItemCount: String.t() | nil,
    maxDataItemPercentage: integer() | nil,
    sampleConfig:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SampleConfig.t()
      | nil,
    trainingConfig:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1TrainingConfig.t()
      | nil
  }

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.