Struct TrainedmodelMethods

pub struct TrainedmodelMethods<'a, C>
where
    C: 'a,
{ /* private fields */ }

A builder providing access to all methods supported on trainedmodel resources. It is not used directly, but through the Prediction hub.

Example

Instantiate a resource builder

extern crate hyper;
extern crate hyper_rustls;
extern crate google_prediction1d6 as prediction1d6;

use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};

let secret: yup_oauth2::ApplicationSecret = Default::default();
let auth = yup_oauth2::InstalledFlowAuthenticator::builder(
    secret,
    yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
).build().await.unwrap();

let client = hyper_util::client::legacy::Client::builder(
    hyper_util::rt::TokioExecutor::new()
)
.build(
    hyper_rustls::HttpsConnectorBuilder::new()
        .with_native_roots()
        .unwrap()
        .https_or_http()
        .enable_http1()
        .build()
);
let mut hub = Prediction::new(client, auth);
// Usually you wouldn't bind this to a variable, but keep calling *CallBuilders*
// like `analyze(...)`, `delete(...)`, `get(...)`, `insert(...)`, `list(...)`, `predict(...)` and `update(...)`
// to build up your call.
let rb = hub.trainedmodels();

Implementations

impl<'a, C> TrainedmodelMethods<'a, C>

pub fn analyze(&self, project: &str, id: &str) -> TrainedmodelAnalyzeCall<'a, C>

Create a builder to help you perform the following task:

Get analysis of the model and the data the model was trained on.

Arguments

• project - The project associated with the model.
• id - The unique name for the predictive model.

pub fn delete(&self, project: &str, id: &str) -> TrainedmodelDeleteCall<'a, C>

Create a builder to help you perform the following task:

Delete a trained model.

Arguments

• project - The project associated with the model.
• id - The unique name for the predictive model.

pub fn get(&self, project: &str, id: &str) -> TrainedmodelGetCall<'a, C>

Create a builder to help you perform the following task:

Check training status of your model.

Arguments

• project - The project associated with the model.
• id - The unique name for the predictive model.

pub fn insert( &self, request: Insert, project: &str, ) -> TrainedmodelInsertCall<'a, C>

Create a builder to help you perform the following task:

Train a Prediction API model.

Arguments

• request - No description provided.
• project - The project associated with the model.

pub fn list(&self, project: &str) -> TrainedmodelListCall<'a, C>

Create a builder to help you perform the following task:

List available models.

Arguments

• project - The project associated with the model.

pub fn predict( &self, request: Input, project: &str, id: &str, ) -> TrainedmodelPredictCall<'a, C>

Create a builder to help you perform the following task:

Submit model id and request a prediction.

Arguments

• request - No description provided.
• project - The project associated with the model.
• id - The unique name for the predictive model.

pub fn update( &self, request: Update, project: &str, id: &str, ) -> TrainedmodelUpdateCall<'a, C>

Create a builder to help you perform the following task:

Add new data to a trained model.

Arguments

• request - No description provided.
• project - The project associated with the model.
• id - The unique name for the predictive model.

Trait Implementations

impl<'a, C> MethodsBuilder for TrainedmodelMethods<'a, C>