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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.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes
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.
Values: SAMPLE_STRATEGY_UNSPECIFIED (0): Default will be treated as UNCERTAINTY. UNCERTAINTY (1): Sample the most uncertain data to label.
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
