Struct PredictSchemata 

#[non_exhaustive]
pub struct PredictSchemata {
    pub instance_schema_uri: String,
    pub parameters_schema_uri: String,
    pub prediction_schema_uri: String,
    /* private fields */
}

Available on crate features dataset-service or job-service or model-garden-service or model-service or pipeline-service only.

Contains the schemata used in Model’s predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.

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.

instance_schema_uri: String

Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.

parameters_schema_uri: String

Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.

prediction_schema_uri: String

Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.

Implementations

impl PredictSchemata

pub fn new() -> Self

pub fn set_instance_schema_uri<T: Into<String>>(self, v: T) -> Self

Sets the value of instance_schema_uri.

pub fn set_parameters_schema_uri<T: Into<String>>(self, v: T) -> Self

Sets the value of parameters_schema_uri.

pub fn set_prediction_schema_uri<T: Into<String>>(self, v: T) -> Self

Sets the value of prediction_schema_uri.

Trait Implementations

impl Clone for PredictSchemata

fn clone(&self) -> PredictSchemata

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PredictSchemata

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

Formats the value using the given formatter.

impl Default for PredictSchemata

fn default() -> PredictSchemata

Returns the “default value” for a type.

impl Message for PredictSchemata

fn typename() -> &'static str

The typename of this message.

impl PartialEq for PredictSchemata

fn eq(&self, other: &PredictSchemata) -> 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 PredictSchemata