GoogleCloudAiplatformV1ActiveLearningConfig

import type { GoogleCloudAiplatformV1ActiveLearningConfig } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";

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.

interface GoogleCloudAiplatformV1ActiveLearningConfig {

maxDataItemCount?: bigint;

maxDataItemPercentage?: number;

sampleConfig?: GoogleCloudAiplatformV1SampleConfig;

trainingConfig?: GoogleCloudAiplatformV1TrainingConfig;

}

§Properties

maxDataItemCount?: bigint

[src]

Max number of human labeled DataItems.

maxDataItemPercentage?: number

[src]

Max percent of total DataItems for human labeling.

sampleConfig?: GoogleCloudAiplatformV1SampleConfig

[src]

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

trainingConfig?: GoogleCloudAiplatformV1TrainingConfig

[src]

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.