Struct googapis::google::cloud::aiplatform::v1beta1::ModelEvaluation

pub struct ModelEvaluation {
    pub name: String,
    pub metrics_schema_uri: String,
    pub metrics: Option<Value>,
    pub create_time: Option<Timestamp>,
    pub slice_dimensions: Vec<String>,
    pub model_explanation: Option<ModelExplanation>,
    pub explanation_specs: Vec<ModelEvaluationExplanationSpec>,
}

A collection of metrics calculated by comparing Model’s predictions on all of the test data against annotations from the test data.

Fields

name: String

Output only. The resource name of the ModelEvaluation.

metrics_schema_uri: String

Output only. Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

metrics: Option<Value>

Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]

create_time: Option<Timestamp>

Output only. Timestamp when this ModelEvaluation was created.

slice_dimensions: Vec<String>

Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of slice.dimension = <dimension>.

model_explanation: Option<ModelExplanation>

Output only. Aggregated explanation metrics for the Model’s prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.

explanation_specs: Vec<ModelEvaluationExplanationSpec>

Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.

Trait Implementations

impl Clone for ModelEvaluation

fn clone(&self) -> ModelEvaluation

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ModelEvaluation

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ModelEvaluation

fn default() -> Self

Returns the “default value” for a type.

impl Message for ModelEvaluation

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8, Global>

Encodes the message to a newly allocated buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8, Global>

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq<ModelEvaluation> for ModelEvaluation

fn eq(&self, other: &ModelEvaluation) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &ModelEvaluation) -> bool

This method tests for !=.

impl StructuralPartialEq for ModelEvaluation