Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ActiveLearningConfig (v0.41.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ActiveLearningConfig.

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.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#max_data_item_count

def max_data_item_count() -> ::Integer
Returns
  • (::Integer) — Max number of human labeled DataItems.

#max_data_item_count=

def max_data_item_count=(value) -> ::Integer
Parameter
  • value (::Integer) — Max number of human labeled DataItems.
Returns
  • (::Integer) — Max number of human labeled DataItems.

#max_data_item_percentage

def max_data_item_percentage() -> ::Integer
Returns
  • (::Integer) — Max percent of total DataItems for human labeling.

#max_data_item_percentage=

def max_data_item_percentage=(value) -> ::Integer
Parameter
  • value (::Integer) — Max percent of total DataItems for human labeling.
Returns
  • (::Integer) — Max percent of total DataItems for human labeling.

#sample_config

def sample_config() -> ::Google::Cloud::AIPlatform::V1::SampleConfig
Returns

#sample_config=

def sample_config=(value) -> ::Google::Cloud::AIPlatform::V1::SampleConfig
Parameter
Returns

#training_config

def training_config() -> ::Google::Cloud::AIPlatform::V1::TrainingConfig
Returns
  • (::Google::Cloud::AIPlatform::V1::TrainingConfig) — 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.

#training_config=

def training_config=(value) -> ::Google::Cloud::AIPlatform::V1::TrainingConfig
Parameter
  • value (::Google::Cloud::AIPlatform::V1::TrainingConfig) — 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.
Returns
  • (::Google::Cloud::AIPlatform::V1::TrainingConfig) — 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.