ALState¶

class probly.evaluation.active_learning.loop.ALState(iteration: int, pool: ActiveLearningPool, estimator: E)[source]¶

Bases: Generic

State yielded after each active learning iteration.

Variables:

iteration (int) – Current iteration number (0 = after initial training).
pool (ActiveLearningPool) – The active learning pool (mutated in place).
estimator (E) – The estimator trained on the current labeled set.

estimator: E¶

iteration: int¶

pool: ActiveLearningPool¶