Struct gapi_grpc::google::cloud::aiplatform::v1::PredictSchemata [−][src]
Contains the schemata used in Model’s predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][] and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
Fields
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][google.cloud.aiplatform.v1.PredictRequest.instances], [ExplainRequest.instances][] and [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.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][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.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][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.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.
Trait Implementations
impl Clone for PredictSchemata
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fn clone(&self) -> PredictSchemata
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for PredictSchemata
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impl Default for PredictSchemata
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fn default() -> PredictSchemata
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impl Message for PredictSchemata
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fn encode_raw<B>(&self, buf: &mut B) where
B: BufMut,
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B: BufMut,
fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
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&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
fn encoded_len(&self) -> usize
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fn clear(&mut self)
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pub fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
B: BufMut,
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B: BufMut,
pub fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
B: BufMut,
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B: BufMut,
pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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Self: Default,
B: Buf,
pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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Self: Default,
B: Buf,
pub fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
B: Buf,
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B: Buf,
pub fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
B: Buf,
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B: Buf,
impl PartialEq<PredictSchemata> for PredictSchemata
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fn eq(&self, other: &PredictSchemata) -> bool
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fn ne(&self, other: &PredictSchemata) -> bool
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impl StructuralPartialEq for PredictSchemata
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Auto Trait Implementations
impl RefUnwindSafe for PredictSchemata
impl Send for PredictSchemata
impl Sync for PredictSchemata
impl Unpin for PredictSchemata
impl UnwindSafe for PredictSchemata
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> IntoRequest<T> for T
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pub fn into_request(self) -> Request<T>
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impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
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V: MultiLane<T>,
impl<T> WithSubscriber for T
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pub fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
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S: Into<Dispatch>,