Struct googapis::google::cloud::aiplatform::v1::model_monitoring_objective_config::TrainingPredictionSkewDetectionConfig [−][src]
pub struct TrainingPredictionSkewDetectionConfig {
pub skew_thresholds: HashMap<String, ThresholdConfig>,
pub attribution_score_skew_thresholds: HashMap<String, ThresholdConfig>,
}
Expand description
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 configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
attribution_score_skew_thresholds: HashMap<String, ThresholdConfig>
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
Trait Implementations
fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
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fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
Decodes a length-delimited instance of the message from the buffer.
Decodes an instance of the message from a buffer, and merges it into self
. Read more
Decodes a length-delimited instance of the message from buffer, and
merges it into self
. Read more
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and other
values to be equal, and is used
by ==
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