Struct gapi_grpc::google::cloud::aiplatform::v1beta1::model_monitoring_objective_config::TrainingPredictionSkewDetectionConfig [−][src]
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
Fields
skew_thresholds: HashMap<String, ThresholdConfig>
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configed for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
Trait Implementations
impl Clone for TrainingPredictionSkewDetectionConfig
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impl Debug for TrainingPredictionSkewDetectionConfig
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impl Default for TrainingPredictionSkewDetectionConfig
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impl Message for TrainingPredictionSkewDetectionConfig
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impl PartialEq<TrainingPredictionSkewDetectionConfig> for TrainingPredictionSkewDetectionConfig
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impl StructuralPartialEq for TrainingPredictionSkewDetectionConfig
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Auto Trait Implementations
impl RefUnwindSafe for TrainingPredictionSkewDetectionConfig
impl Send for TrainingPredictionSkewDetectionConfig
impl Sync for TrainingPredictionSkewDetectionConfig
impl Unpin for TrainingPredictionSkewDetectionConfig
impl UnwindSafe for TrainingPredictionSkewDetectionConfig
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> From<T> for T
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impl<T> Instrument for T
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impl<T> Instrument for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> IntoRequest<T> for T
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impl<T> ToOwned for T where
T: Clone,
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T: Clone,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
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V: MultiLane<T>,