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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class SampleConfig.
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
Generated from protobuf message google.cloud.aiplatform.v1.SampleConfig
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ 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
int
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
getInitialBatchSamplePercentage
The percentage of data needed to be labeled in the first batch.
int
hasInitialBatchSamplePercentage
setInitialBatchSamplePercentage
The percentage of data needed to be labeled in the first batch.
var
int
$this
getFollowingBatchSamplePercentage
The percentage of data needed to be labeled in each following batch (except the first batch).
int
hasFollowingBatchSamplePercentage
setFollowingBatchSamplePercentage
The percentage of data needed to be labeled in each following batch (except the first batch).
var
int
$this
getSampleStrategy
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
int
setSampleStrategy
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
var
int
$this
getInitialBatchSampleSize
string
getFollowingBatchSampleSize
string
