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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.
Attributes
| Name | Description |
| initial_batch_sample_percentage | int
The percentage of data needed to be labeled in the first batch. |
| following_batch_sample_percentage | int
The percentage of data needed to be labeled in each following batch (except the first batch). |
| 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. |
Inheritance
builtins.object > proto.message.Message > SampleConfigClasses
SampleStrategy
SampleStrategy
(
value
)
Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.
