Property reference

glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_response_size

The property sets the maximum number of samples that the Active Learning job can return as candidates for labeling. Admins should review this setting to optimize performance and ensure it meets their data processing needs.

Default: 300 Type: string Application: Global

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? It limits the number of candidate samples returned by the Active Learning job for labeling purposes.
What area does it affect? Active Learning configuration
What does the default mean? The default value is "300", which is the baseline setting used unless it is changed.
When should you review it? Review this property when adjusting Active Learning job parameters or optimizing data processing.

Out of the box property record

Raw metadata from the property record.

Property name glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_response_size
Sys ID 0e8fb241eb7230103da4ee2c4752287b
Type string
Application Global
Default value 300
Description Max number of samples Active Learning job can return as candidates for labelling
Updated 2024-05-25 04:08:03