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.
Max number of human labeled DataItems.
Max percent of total DataItems for human
Active learning data sampling config. For
every active learning labeling iteration, it
will select a batch of data based on the
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