GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig
import type { GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
interface GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig {
attributionScoreSkewThresholds?: {};
[key: string]: GoogleCloudAiplatformV1ThresholdConfig;
defaultSkewThreshold?: GoogleCloudAiplatformV1ThresholdConfig;
skewThresholds?: {};
}[key: string]: GoogleCloudAiplatformV1ThresholdConfig;
§Properties
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attributionScoreSkewThresholds?: {}
[src][key: string]: GoogleCloudAiplatformV1ThresholdConfig;
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
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defaultSkewThreshold?: GoogleCloudAiplatformV1ThresholdConfig
[src]Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
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skewThresholds?: {}
[src][key: string]: GoogleCloudAiplatformV1ThresholdConfig;
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.