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Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#following_batch_sample_percentage
def following_batch_sample_percentage() -> ::Integer
Returns
- (::Integer) — The percentage of data needed to be labeled in each following batch (except the first batch).
#following_batch_sample_percentage=
def following_batch_sample_percentage=(value) -> ::Integer
Parameter
- value (::Integer) — The percentage of data needed to be labeled in each following batch (except the first batch).
Returns
- (::Integer) — The percentage of data needed to be labeled in each following batch (except the first batch).
#initial_batch_sample_percentage
def initial_batch_sample_percentage() -> ::Integer
Returns
- (::Integer) — The percentage of data needed to be labeled in the first batch.
#initial_batch_sample_percentage=
def initial_batch_sample_percentage=(value) -> ::Integer
Parameter
- value (::Integer) — The percentage of data needed to be labeled in the first batch.
Returns
- (::Integer) — The percentage of data needed to be labeled in the first batch.
#sample_strategy
def sample_strategy() -> ::Google::Cloud::AIPlatform::V1::SampleConfig::SampleStrategy
Returns
- (::Google::Cloud::AIPlatform::V1::SampleConfig::SampleStrategy) — Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
#sample_strategy=
def sample_strategy=(value) -> ::Google::Cloud::AIPlatform::V1::SampleConfig::SampleStrategy
Parameter
- value (::Google::Cloud::AIPlatform::V1::SampleConfig::SampleStrategy) — Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
Returns
- (::Google::Cloud::AIPlatform::V1::SampleConfig::SampleStrategy) — Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.