Class GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix

Inheritance
object
GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix : IDirectResponseSchema

Properties

AnnotationSpecs

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.

Declaration
[JsonProperty("annotationSpecs")]
public virtual IList<GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef> AnnotationSpecs { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef>

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

Rows

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.

Declaration
[JsonProperty("rows")]
public virtual IList<IList<object>> Rows { get; set; }
Property Value
Type Description
IList<IList<object>>

Implements