com.google.api.services.ml.v1

Class CloudMachineLearningEngine.Projects

java.lang.Object

com.google.api.services.ml.v1.CloudMachineLearningEngine.Projects

Enclosing class:

CloudMachineLearningEngine

public class CloudMachineLearningEngine.Projects
extends Object

The "projects" collection of methods.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	CloudMachineLearningEngine.Projects.Explain
class	CloudMachineLearningEngine.Projects.GetConfig
class	CloudMachineLearningEngine.Projects.Jobs The "jobs" collection of methods.
class	CloudMachineLearningEngine.Projects.Locations The "locations" collection of methods.
class	CloudMachineLearningEngine.Projects.Models The "models" collection of methods.
class	CloudMachineLearningEngine.Projects.Operations The "operations" collection of methods.
class	CloudMachineLearningEngine.Projects.Predict

Constructor Summary

Constructors

Constructor and Description
Projects()

Method Summary

Modifier and Type	Method and Description
CloudMachineLearningEngine.Projects.Explain	explain(String name, GoogleCloudMlV1ExplainRequest content) Performs explanation on the data in the request.
CloudMachineLearningEngine.Projects.GetConfig	getConfig(String name) Get the service account information associated with your project.
CloudMachineLearningEngine.Projects.Jobs	jobs() An accessor for creating requests from the Jobs collection.
CloudMachineLearningEngine.Projects.Locations	locations() An accessor for creating requests from the Locations collection.
CloudMachineLearningEngine.Projects.Models	models() An accessor for creating requests from the Models collection.
CloudMachineLearningEngine.Projects.Operations	operations() An accessor for creating requests from the Operations collection.
CloudMachineLearningEngine.Projects.Predict	predict(String name, GoogleCloudMlV1PredictRequest content) Performs online prediction on the data in the request.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Projects

public Projects()

Method Detail

explain

public CloudMachineLearningEngine.Projects.Explain explain(String name,
                                                           GoogleCloudMlV1ExplainRequest content)
                                                    throws IOException

Performs explanation on the data in the request. {% dynamic include "/ai-platform/includes /___explain-request" %} Create a request for the method "projects.explain". This request holds the parameters needed by the ml server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

name - Required. The resource name of a model or a version. Authorization: requires the `predict` permission on the specified resource.

content - the GoogleCloudMlV1ExplainRequest

Returns:

the request

Throws:

IOException

getConfig

public CloudMachineLearningEngine.Projects.GetConfig getConfig(String name)
                                                        throws IOException

Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning. Create a request for the method "projects.getConfig". This request holds the parameters needed by the ml server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

name - Required. The project name.

Returns:

the request

Throws:

IOException

predict

public CloudMachineLearningEngine.Projects.Predict predict(String name,
                                                           GoogleCloudMlV1PredictRequest content)
                                                    throws IOException

Performs online prediction on the data in the request. {% dynamic include "/ai-platform/includes /___predict-request" %} Create a request for the method "projects.predict". This request holds the parameters needed by the ml server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

name - Required. The resource name of a model or a version. Authorization: requires the `predict` permission on the specified resource.

content - the GoogleCloudMlV1PredictRequest

Returns:

the request

Throws:

IOException

jobs

public CloudMachineLearningEngine.Projects.Jobs jobs()

An accessor for creating requests from the Jobs collection.

The typical use is:

    CloudMachineLearningEngine ml = new CloudMachineLearningEngine(...);
    CloudMachineLearningEngine.Jobs.List request = ml.jobs().list(parameters ...)
 

Returns:

the resource collection

locations

public CloudMachineLearningEngine.Projects.Locations locations()

An accessor for creating requests from the Locations collection.

The typical use is:

    CloudMachineLearningEngine ml = new CloudMachineLearningEngine(...);
    CloudMachineLearningEngine.Locations.List request = ml.locations().list(parameters ...)
 

Returns:

the resource collection

models

public CloudMachineLearningEngine.Projects.Models models()

An accessor for creating requests from the Models collection.

The typical use is:

    CloudMachineLearningEngine ml = new CloudMachineLearningEngine(...);
    CloudMachineLearningEngine.Models.List request = ml.models().list(parameters ...)
 

Returns:

the resource collection

operations

public CloudMachineLearningEngine.Projects.Operations operations()

An accessor for creating requests from the Operations collection.

The typical use is:

    CloudMachineLearningEngine ml = new CloudMachineLearningEngine(...);
    CloudMachineLearningEngine.Operations.List request = ml.operations().list(parameters ...)
 

Returns:

the resource collection