com.google.api.services.ml.v1

Class CloudMachineLearningEngine.Projects.Models

java.lang.Object

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

Enclosing class:

CloudMachineLearningEngine.Projects

public class CloudMachineLearningEngine.Projects.Models
extends Object

The "models" collection of methods.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	CloudMachineLearningEngine.Projects.Models.Create
class	CloudMachineLearningEngine.Projects.Models.Delete
class	CloudMachineLearningEngine.Projects.Models.Get
class	CloudMachineLearningEngine.Projects.Models.GetIamPolicy
class	CloudMachineLearningEngine.Projects.Models.List
class	CloudMachineLearningEngine.Projects.Models.Patch
class	CloudMachineLearningEngine.Projects.Models.SetIamPolicy
class	CloudMachineLearningEngine.Projects.Models.TestIamPermissions
class	CloudMachineLearningEngine.Projects.Models.Versions The "versions" collection of methods.

Constructor Summary

Constructors

Constructor and Description
Models()

Method Summary

Modifier and Type	Method and Description
CloudMachineLearningEngine.Projects.Models.Create	create(String parent, GoogleCloudMlV1Model content) Creates a model which will later contain one or more versions.
CloudMachineLearningEngine.Projects.Models.Delete	delete(String name) Deletes a model.
CloudMachineLearningEngine.Projects.Models.Get	get(String name) Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed).
CloudMachineLearningEngine.Projects.Models.GetIamPolicy	getIamPolicy(String resource) Gets the access control policy for a resource.
CloudMachineLearningEngine.Projects.Models.List	list(String parent) Lists the models in a project.
CloudMachineLearningEngine.Projects.Models.Patch	patch(String name, GoogleCloudMlV1Model content) Updates a specific model resource.
CloudMachineLearningEngine.Projects.Models.SetIamPolicy	setIamPolicy(String resource, GoogleIamV1SetIamPolicyRequest content) Sets the access control policy on the specified resource.
CloudMachineLearningEngine.Projects.Models.TestIamPermissions	testIamPermissions(String resource, GoogleIamV1TestIamPermissionsRequest content) Returns permissions that a caller has on the specified resource.
CloudMachineLearningEngine.Projects.Models.Versions	versions() An accessor for creating requests from the Versions collection.

Methods inherited from class java.lang.Object

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

Constructor Detail

Models

public Models()

Method Detail

create

public CloudMachineLearningEngine.Projects.Models.Create create(String parent,
                                                                GoogleCloudMlV1Model content)
                                                         throws IOException

Creates a model which will later contain one or more versions. You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create. Create a request for the method "models.create". 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:

parent - Required. The project name.

content - the GoogleCloudMlV1Model

Returns:

the request

Throws:

IOException

delete

public CloudMachineLearningEngine.Projects.Models.Delete delete(String name)
                                                         throws IOException

Deletes a model. You can only delete a model if there are no versions in it. You can delete versions by calling projects.models.versions.delete. Create a request for the method "models.delete". 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 name of the model.

Returns:

the request

Throws:

IOException

get

public CloudMachineLearningEngine.Projects.Models.Get get(String name)
                                                   throws IOException

Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed). Create a request for the method "models.get". 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 name of the model.

Returns:

the request

Throws:

IOException

getIamPolicy

public CloudMachineLearningEngine.Projects.Models.GetIamPolicy getIamPolicy(String resource)
                                                                     throws IOException

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set. Create a request for the method "models.getIamPolicy". 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:

resource - REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.

Returns:

the request

Throws:

IOException

list

public CloudMachineLearningEngine.Projects.Models.List list(String parent)
                                                     throws IOException

Lists the models in a project. Each project can contain multiple models, and each model can have multiple versions. If there are no models that match the request parameters, the list request returns an empty response body: {}. Create a request for the method "models.list". 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:

parent - Required. The name of the project whose models are to be listed.

Returns:

the request

Throws:

IOException

patch

public CloudMachineLearningEngine.Projects.Models.Patch patch(String name,
                                                              GoogleCloudMlV1Model content)
                                                       throws IOException

Updates a specific model resource. Currently the only supported fields to update are `description` and `default_version.name`. Create a request for the method "models.patch". 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.

content - the GoogleCloudMlV1Model

Returns:

the request

Throws:

IOException

setIamPolicy

public CloudMachineLearningEngine.Projects.Models.SetIamPolicy setIamPolicy(String resource,
                                                                            GoogleIamV1SetIamPolicyRequest content)
                                                                     throws IOException

Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors. Create a request for the method "models.setIamPolicy". 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:

resource - REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.

content - the GoogleIamV1SetIamPolicyRequest

Returns:

the request

Throws:

IOException

testIamPermissions

public CloudMachineLearningEngine.Projects.Models.TestIamPermissions testIamPermissions(String resource,
                                                                                        GoogleIamV1TestIamPermissionsRequest content)
                                                                                 throws IOException

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning. Create a request for the method "models.testIamPermissions". 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:

resource - REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.

content - the GoogleIamV1TestIamPermissionsRequest

Returns:

the request

Throws:

IOException

versions

public CloudMachineLearningEngine.Projects.Models.Versions versions()

An accessor for creating requests from the Versions collection.

The typical use is:

    CloudMachineLearningEngine ml = new CloudMachineLearningEngine(...);
    CloudMachineLearningEngine.Versions.List request = ml.versions().list(parameters ...)
 

Returns:

the resource collection