SampleConfig class final
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
Constructors
- SampleConfig({int? initialBatchSamplePercentage, int? followingBatchSamplePercentage, SampleConfig_SampleStrategy sampleStrategy = SampleConfig_SampleStrategy.$default})
- SampleConfig.fromJson(Object? j)
-
factory
Properties
- followingBatchSamplePercentage → int?
-
The percentage of data needed to be labeled in each following batch
(except the first batch).
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- initialBatchSamplePercentage → int?
-
The percentage of data needed to be labeled in the first batch.
final
- qualifiedName → String
-
The fully qualified name of this message, i.e.,
google.protobuf.Durationorgoogle.rpc.ErrorInfo.finalinherited - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- sampleStrategy → SampleConfig_SampleStrategy
-
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Object -
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Constants
- fullyQualifiedName → const String