GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse class

Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

Constructors

GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse({required Input<String> maxDataItemCount, required Input<int> maxDataItemPercentage, required Input<GoogleCloudAiplatformV1beta1SampleConfigResponse> sampleConfig, required Input<GoogleCloudAiplatformV1beta1TrainingConfigResponse> trainingConfig})
Creates a new GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse. maxDataItemCount Max number of human labeled DataItems. maxDataItemPercentage Max percent of total DataItems for human labeling. sampleConfig Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy. trainingConfig CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
const
GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse.fromMap(Map<String, dynamic> map)
factory

Properties

hashCode → int
The hash code for this object.
no setterinherited
maxDataItemCount → Input<String>
Max number of human labeled DataItems.
final
maxDataItemPercentage → Input<int>
Max percent of total DataItems for human labeling.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
sampleConfig → Input<GoogleCloudAiplatformV1beta1SampleConfigResponse>
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
final
trainingConfig → Input<GoogleCloudAiplatformV1beta1TrainingConfigResponse>
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
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