Class ActiveLearningConfig (1.4.3)

Version 1.4.3

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ActiveLearningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

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

Name	Description
max_data_item_count	int Max number of human labeled DataItems.
max_data_item_percentage	int Max percent of total DataItems for human labeling.
sample_config	google.cloud.aiplatform_v1beta1.types.SampleConfig Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
training_config	google.cloud.aiplatform_v1beta1.types.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.

Inheritance

builtins.object > proto.message.Message > ActiveLearningConfig