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.
