Class GoogleCloudAiplatformV1beta1ExplanationParameters

Parameters to configure explaining for Model's predictions.

Inheritance

object

GoogleCloudAiplatformV1beta1ExplanationParameters

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 GoogleCloudAiplatformV1beta1ExplanationParameters : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

Examples

Example-based explanations that returns the nearest neighbors from the provided dataset.

Declaration

[JsonProperty("examples")]
public virtual GoogleCloudAiplatformV1beta1Examples Examples { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1Examples

IntegratedGradientsAttribution

An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

Declaration

[JsonProperty("integratedGradientsAttribution")]
public virtual GoogleCloudAiplatformV1beta1IntegratedGradientsAttribution IntegratedGradientsAttribution { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1IntegratedGradientsAttribution

OutputIndices

If populated, only returns attributions that have output_index contained in output_indices. It must be an ndarray of integers, with the same shape of the output it's explaining. If not populated, returns attributions for top_k indices of outputs. If neither top_k nor output_indices is populated, returns the argmax index of the outputs. Only applicable to Models that predict multiple outputs (e,g, multi-class Models that predict multiple classes).

Declaration

[JsonProperty("outputIndices")]
public virtual IList<object> OutputIndices { get; set; }

Property Value

Type	Description
IList<object>

SampledShapleyAttribution

An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features. Refer to this paper for model details: https://arxiv.org/abs/1306.4265.

Declaration

[JsonProperty("sampledShapleyAttribution")]
public virtual GoogleCloudAiplatformV1beta1SampledShapleyAttribution SampledShapleyAttribution { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1SampledShapleyAttribution

TopK

If populated, returns attributions for top K indices of outputs (defaults to 1). Only applies to Models that predicts more than one outputs (e,g, multi-class Models). When set to -1, returns explanations for all outputs.

Declaration

[JsonProperty("topK")]
public virtual int? TopK { get; set; }

Property Value

Type	Description
int?

XraiAttribution

An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 XRAI currently performs better on natural images, like a picture of a house or an animal. If the images are taken in artificial environments, like a lab or manufacturing line, or from diagnostic equipment, like x-rays or quality-control cameras, use Integrated Gradients instead.

Declaration

[JsonProperty("xraiAttribution")]
public virtual GoogleCloudAiplatformV1beta1XraiAttribution XraiAttribution { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1XraiAttribution

Implements

IDirectResponseSchema