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ActiveLearningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Paramaters that configure 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 |
`.data_labeling_job.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 |
`.data_labeling_job.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. |