View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix (google_api_ai_platform v0.13.0)

Attributes

annotationSpecs (type: list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef.t), default: nil) - 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 (type: list(list(any())), default: nil) - 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.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix{
    annotationSpecs:
      [
        GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef.t()
      ]
      | nil,
    rows: [[any()]] | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.