GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix
import type { GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";§Properties
AnnotationSpecs used in the confusion matrix. For AutoML Text Extraction,
a special negative AnnotationSpec with empty id and displayName of
"NULL" will be added as the last element.
Rows in the confusion matrix. The number of rows is equal to the size of
annotationSpecs. rowsi is the number of DataItems that have ground
truth of the annotationSpecs[i] and are predicted as annotationSpecs[j]
by the Model being evaluated. For Text Extraction, when
annotationSpecs[i] is the last element in annotationSpecs, i.e. the
special negative AnnotationSpec, rowsi is the number of predicted
entities of annoatationSpec[j] that are not labeled as any of the ground
truth AnnotationSpec. When annotationSpecs[j] is the special negative
AnnotationSpec, rowsi is the number of entities have ground truth of
annotationSpec[i] that are not predicted as an entity by the Model. The
value of the last cell, i.e. rowi where i == j and annotationSpec[i] is
the special negative AnnotationSpec, is always 0.