Struct google_prediction1d6::TrainedmodelMethods

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

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 yup_oauth2 as oauth2;
extern crate google_prediction1d6 as prediction1d6;
 
use std::default::Default;
use oauth2::{Authenticator, DefaultAuthenticatorDelegate, ApplicationSecret, MemoryStorage};
use prediction1d6::Prediction;
 
let secret: ApplicationSecret = Default::default();
let auth = Authenticator::new(&secret, DefaultAuthenticatorDelegate,
                              hyper::Client::new(),
                              <MemoryStorage as Default>::default(), None);
let mut hub = Prediction::new(hyper::Client::new(), 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();

Methods

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

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

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.

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

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.

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

Create a builder to help you perform the following task:

List available models.

Arguments

• project - The project associated with the model.

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

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.

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

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.

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

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.

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

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.

Trait Implementations

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