Struct google_api_proto::google::cloud::aiplatform::v1beta1::ExplainRequest
source · pub struct ExplainRequest {
pub endpoint: String,
pub instances: Vec<Value>,
pub parameters: Option<Value>,
pub explanation_spec_override: Option<ExplanationSpecOverride>,
pub concurrent_explanation_spec_override: BTreeMap<String, ExplanationSpecOverride>,
pub deployed_model_id: String,
}
Expand description
Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
Fields§
§endpoint: String
Required. The name of the Endpoint requested to serve the explanation.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
instances: Vec<Value>
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][google.cloud.aiplatform.v1beta1.DeployedModel.model] [PredictSchemata’s][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
parameters: Option<Value>
The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint’s DeployedModels’ [Model’s ][google.cloud.aiplatform.v1beta1.DeployedModel.model] [PredictSchemata’s][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
explanation_spec_override: Option<ExplanationSpecOverride>
If specified, overrides the [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.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.
concurrent_explanation_spec_override: BTreeMap<String, ExplanationSpecOverride>
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.
deployed_model_id: String
If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
Trait Implementations§
source§impl Clone for ExplainRequest
impl Clone for ExplainRequest
source§fn clone(&self) -> ExplainRequest
fn clone(&self) -> ExplainRequest
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for ExplainRequest
impl Debug for ExplainRequest
source§impl Default for ExplainRequest
impl Default for ExplainRequest
source§impl Message for ExplainRequest
impl Message for ExplainRequest
source§fn encoded_len(&self) -> usize
fn encoded_len(&self) -> usize
source§fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
. Read moresource§fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
.source§impl PartialEq for ExplainRequest
impl PartialEq for ExplainRequest
source§fn eq(&self, other: &ExplainRequest) -> bool
fn eq(&self, other: &ExplainRequest) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for ExplainRequest
Auto Trait Implementations§
impl Freeze for ExplainRequest
impl RefUnwindSafe for ExplainRequest
impl Send for ExplainRequest
impl Sync for ExplainRequest
impl Unpin for ExplainRequest
impl UnwindSafe for ExplainRequest
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoRequest<T> for T
impl<T> IntoRequest<T> for T
source§fn into_request(self) -> Request<T>
fn into_request(self) -> Request<T>
T
in a tonic::Request