Class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrix
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrix : 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<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef> AnnotationSpecs { get; set; }
Property Value
Type | Description |
---|---|
IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef> |
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>> |