Class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics

The Evaluation metrics given a specific precision_window_length.

Inheritance

object

GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1beta1.Data

Assembly: Google.Apis.Aiplatform.v1beta1.dll

Syntax

public class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics : IDirectResponseSchema

Properties

ConfidenceMetrics

Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99.

Declaration

[JsonProperty("confidenceMetrics")]
public virtual IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics> ConfidenceMetrics { get; set; }

Property Value

Type	Description
IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics>

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

MeanAveragePrecision

The mean average precision.

Declaration

[JsonProperty("meanAveragePrecision")]
public virtual float? MeanAveragePrecision { get; set; }

Property Value

Type	Description
float?

PrecisionWindowLength

This VideoActionMetrics is calculated based on this prediction window length. If the predicted action's timestamp is inside the time window whose center is the ground truth action's timestamp with this specific length, the prediction result is treated as a true positive.

Declaration

[JsonProperty("precisionWindowLength")]
public virtual object PrecisionWindowLength { get; set; }

Property Value

Type	Description
object

Implements

IDirectResponseSchema