Class GoogleCloudAiplatformV1beta1ExplainRequest
Request message for PredictionService.Explain.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1ExplainRequest : IDirectResponseSchema
Properties
ConcurrentExplanationSpecOverride
Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together. Note - these explanations are run In Addition to the default Explanation in the deployed model.
Declaration
[JsonProperty("concurrentExplanationSpecOverride")]
public virtual IDictionary<string, GoogleCloudAiplatformV1beta1ExplanationSpecOverride> ConcurrentExplanationSpecOverride { get; set; }
Property Value
Type | Description |
---|---|
IDictionary<string, GoogleCloudAiplatformV1beta1ExplanationSpecOverride> |
DeployedModelId
If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.
Declaration
[JsonProperty("deployedModelId")]
public virtual string DeployedModelId { get; set; }
Property Value
Type | Description |
---|---|
string |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
ExplanationSpecOverride
If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as: - Explaining top-5 predictions results as opposed to top-1;
- Increasing path count or step count of the attribution methods to reduce approximate errors; - Using different baselines for explaining the prediction results.
Declaration
[JsonProperty("explanationSpecOverride")]
public virtual GoogleCloudAiplatformV1beta1ExplanationSpecOverride ExplanationSpecOverride { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1beta1ExplanationSpecOverride |
Instances
Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.
Declaration
[JsonProperty("instances")]
public virtual IList<object> Instances { get; set; }
Property Value
Type | Description |
---|---|
IList<object> |
Parameters
The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.
Declaration
[JsonProperty("parameters")]
public virtual object Parameters { get; set; }
Property Value
Type | Description |
---|---|
object |