Google Cloud Ai Platform V1 Client - Class ActiveLearningConfig (1.35.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class 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.

Generated from protobuf message google.cloud.aiplatform.v1.ActiveLearningConfig

Constructor.

Max number of human labeled DataItems.

Max number of human labeled DataItems.

Max percent of total DataItems for human labeling.

Max percent of total DataItems for human labeling.

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

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

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.

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.