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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ErrorAnalysisAnnotation.
Model error analysis for each annotation.
Generated from protobuf message google.cloud.aiplatform.v1.ErrorAnalysisAnnotation
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ attributed_items
array< Google\Cloud\AIPlatform\V1\ErrorAnalysisAnnotation\AttributedItem
>
Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.
↳ query_type
int
The query type used for finding the attributed items.
↳ outlier_score
float
The outlier score of this annotated item. Usually defined as the min of all distances from attributed items.
↳ outlier_threshold
float
The threshold used to determine if this annotation is an outlier or not.
getAttributedItems
Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.
setAttributedItems
Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.
$this
getQueryType
The query type used for finding the attributed items.
int
setQueryType
The query type used for finding the attributed items.
var
int
$this
getOutlierScore
The outlier score of this annotated item. Usually defined as the min of all distances from attributed items.
float
setOutlierScore
The outlier score of this annotated item. Usually defined as the min of all distances from attributed items.
var
float
$this
getOutlierThreshold
The threshold used to determine if this annotation is an outlier or not.
float
setOutlierThreshold
The threshold used to determine if this annotation is an outlier or not.
var
float
$this
