Struct EvaluateDatasetResponse 

#[non_exhaustive]
pub struct EvaluateDatasetResponse {
    pub aggregation_output: Option<AggregationOutput>,
    pub output_info: Option<OutputInfo>,
    /* private fields */
}

Available on crate feature gen-ai-tuning-service only.

The results from an evaluation run performed by the EvaluationService.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

aggregation_output: Option<AggregationOutput>

Output only. Aggregation statistics derived from results of EvaluationService.

output_info: Option<OutputInfo>

Output only. Output info for EvaluationService.

Implementations

impl EvaluateDatasetResponse

pub fn new() -> Self

pub fn set_aggregation_output<T>(self, v: T) -> Self

where T: Into<AggregationOutput>,

Sets the value of aggregation_output.

Example

use google_cloud_aiplatform_v1::model::AggregationOutput;
let x = EvaluateDatasetResponse::new().set_aggregation_output(AggregationOutput::default()/* use setters */);

pub fn set_or_clear_aggregation_output<T>(self, v: Option<T>) -> Self

where T: Into<AggregationOutput>,

Sets or clears the value of aggregation_output.

Example

use google_cloud_aiplatform_v1::model::AggregationOutput;
let x = EvaluateDatasetResponse::new().set_or_clear_aggregation_output(Some(AggregationOutput::default()/* use setters */));
let x = EvaluateDatasetResponse::new().set_or_clear_aggregation_output(None::<AggregationOutput>);

pub fn set_output_info<T>(self, v: T) -> Self

where T: Into<OutputInfo>,

Sets the value of output_info.

Example

use google_cloud_aiplatform_v1::model::OutputInfo;
let x = EvaluateDatasetResponse::new().set_output_info(OutputInfo::default()/* use setters */);

pub fn set_or_clear_output_info<T>(self, v: Option<T>) -> Self

where T: Into<OutputInfo>,

Sets or clears the value of output_info.

Example

use google_cloud_aiplatform_v1::model::OutputInfo;
let x = EvaluateDatasetResponse::new().set_or_clear_output_info(Some(OutputInfo::default()/* use setters */));
let x = EvaluateDatasetResponse::new().set_or_clear_output_info(None::<OutputInfo>);

Trait Implementations

impl Clone for EvaluateDatasetResponse

fn clone(&self) -> EvaluateDatasetResponse

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EvaluateDatasetResponse

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

Formats the value using the given formatter.

impl Default for EvaluateDatasetResponse

fn default() -> EvaluateDatasetResponse

Returns the “default value” for a type.

impl Message for EvaluateDatasetResponse

fn typename() -> &'static str

The typename of this message.

impl PartialEq for EvaluateDatasetResponse

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EvaluateDatasetResponse