SampleConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
|---|---|
| Name | Description |
initial_batch_sample_percentage |
int
The percentage of data needed to be labeled in the first batch. This field is a member of oneof_ initial_batch_sample_size.
|
following_batch_sample_percentage |
int
The percentage of data needed to be labeled in each following batch (except the first batch). This field is a member of oneof_ following_batch_sample_size.
|
sample_strategy |
google.cloud.aiplatform_v1.types.SampleConfig.SampleStrategy
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch. |
Classes
SampleStrategy
SampleStrategy(value)Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.
Methods
SampleConfig
SampleConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields