Class ModelEvaluation

Evaluation results of a model.

Inheritance
System.Object
ModelEvaluation
Implements
System.IEquatable<ModelEvaluation>
Google.Protobuf.IBufferMessage
Inherited Members
System.Object.ToString()
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Google.Cloud.AutoML.V1
Assembly: Google.Cloud.AutoML.V1.dll
Syntax
public sealed class ModelEvaluation : IMessage<ModelEvaluation>, IEquatable<ModelEvaluation>, IDeepCloneable<ModelEvaluation>, IBufferMessage, IMessage

Constructors

ModelEvaluation()

Declaration
public ModelEvaluation()

ModelEvaluation(ModelEvaluation)

Declaration
public ModelEvaluation(ModelEvaluation other)
Parameters
Type Name Description
ModelEvaluation other

Properties

AnnotationSpecId

Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION

[prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] the [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] field is used.

Declaration
public string AnnotationSpecId { get; set; }
Property Value
Type Description
System.String

ClassificationEvaluationMetrics

Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.

Declaration
public ClassificationEvaluationMetrics ClassificationEvaluationMetrics { get; set; }
Property Value
Type Description
ClassificationEvaluationMetrics

CreateTime

Output only. Timestamp when this model evaluation was created.

Declaration
public Timestamp CreateTime { get; set; }
Property Value
Type Description
Timestamp

DisplayName

Output only. The value of [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION

[prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.

Declaration
public string DisplayName { get; set; }
Property Value
Type Description
System.String

EvaluatedExampleCount

Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the

[annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id].

Declaration
public int EvaluatedExampleCount { get; set; }
Property Value
Type Description
System.Int32

ImageObjectDetectionEvaluationMetrics

Model evaluation metrics for image object detection.

Declaration
public ImageObjectDetectionEvaluationMetrics ImageObjectDetectionEvaluationMetrics { get; set; }
Property Value
Type Description
ImageObjectDetectionEvaluationMetrics

MetricsCase

Declaration
public ModelEvaluation.MetricsOneofCase MetricsCase { get; }
Property Value
Type Description
ModelEvaluation.MetricsOneofCase

ModelEvaluationName

ModelEvaluationName-typed view over the Name resource name property.

Declaration
public ModelEvaluationName ModelEvaluationName { get; set; }
Property Value
Type Description
ModelEvaluationName

Name

Output only. Resource name of the model evaluation. Format:

projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}

Declaration
public string Name { get; set; }
Property Value
Type Description
System.String

TextExtractionEvaluationMetrics

Evaluation metrics for text extraction models.

Declaration
public TextExtractionEvaluationMetrics TextExtractionEvaluationMetrics { get; set; }
Property Value
Type Description
TextExtractionEvaluationMetrics

TextSentimentEvaluationMetrics

Evaluation metrics for text sentiment models.

Declaration
public TextSentimentEvaluationMetrics TextSentimentEvaluationMetrics { get; set; }
Property Value
Type Description
TextSentimentEvaluationMetrics

TranslationEvaluationMetrics

Model evaluation metrics for translation.

Declaration
public TranslationEvaluationMetrics TranslationEvaluationMetrics { get; set; }
Property Value
Type Description
TranslationEvaluationMetrics