Class: Google::Cloud::AIPlatform::V1::ActiveLearningConfig

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/data_labeling_job.rb

Overview

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.

Instance Attribute Summary collapse

Instance Attribute Details

#max_data_item_count ⇒ ::Integer

Returns Max number of human labeled DataItems.

Returns:

  • (::Integer) —

    Max number of human labeled DataItems.



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# File 'proto_docs/google/cloud/aiplatform/v1/data_labeling_job.rb', line 160

class ActiveLearningConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#max_data_item_percentage ⇒ ::Integer

Returns Max percent of total DataItems for human labeling.

Returns:

  • (::Integer) —

    Max percent of total DataItems for human labeling.



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# File 'proto_docs/google/cloud/aiplatform/v1/data_labeling_job.rb', line 160

class ActiveLearningConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#sample_config ⇒ ::Google::Cloud::AIPlatform::V1::SampleConfig

Returns Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/data_labeling_job.rb', line 160

class ActiveLearningConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#training_config ⇒ ::Google::Cloud::AIPlatform::V1::TrainingConfig

Returns 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.



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# File 'proto_docs/google/cloud/aiplatform/v1/data_labeling_job.rb', line 160

class ActiveLearningConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end