GoogleCloudAiplatformV1SampleConfig class

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

Constructors

GoogleCloudAiplatformV1SampleConfig({Input<int>? followingBatchSamplePercentage, Input<int>? initialBatchSamplePercentage, Input<GoogleCloudAiplatformV1SampleConfigSampleStrategy>? sampleStrategy})

Creates a new GoogleCloudAiplatformV1SampleConfig. followingBatchSamplePercentage The percentage of data needed to be labeled in each following batch (except the first batch). initialBatchSamplePercentage The percentage of data needed to be labeled in the first batch. sampleStrategy Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

const

GoogleCloudAiplatformV1SampleConfig.fromMap(Map<String, dynamic> map)

factory

Properties

followingBatchSamplePercentage → Input<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 setter, inherited

initialBatchSamplePercentage → Input<int>?

The percentage of data needed to be labeled in the first batch.

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

sampleStrategy → Input<GoogleCloudAiplatformV1SampleConfigSampleStrategy>?

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

toMap() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited