com.google.api.services.ml.v1

Class CloudMachineLearningEngine.Projects.Models.Versions

java.lang.Object

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

Enclosing class:

CloudMachineLearningEngine.Projects.Models

public class CloudMachineLearningEngine.Projects.Models.Versions
extends Object

The "versions" collection of methods.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	CloudMachineLearningEngine.Projects.Models.Versions.Create
class	CloudMachineLearningEngine.Projects.Models.Versions.Delete
class	CloudMachineLearningEngine.Projects.Models.Versions.Get
class	CloudMachineLearningEngine.Projects.Models.Versions.List
class	CloudMachineLearningEngine.Projects.Models.Versions.Patch
class	CloudMachineLearningEngine.Projects.Models.Versions.SetDefault

Constructor Summary

Constructors

Constructor and Description
Versions()

Method Summary

Modifier and Type	Method and Description
CloudMachineLearningEngine.Projects.Models.Versions.Create	create(String parent, GoogleCloudMlV1Version content) Creates a new version of a model from a trained TensorFlow model.
CloudMachineLearningEngine.Projects.Models.Versions.Delete	delete(String name) Deletes a model version.
CloudMachineLearningEngine.Projects.Models.Versions.Get	get(String name) Gets information about a model version.
CloudMachineLearningEngine.Projects.Models.Versions.List	list(String parent) Gets basic information about all the versions of a model.
CloudMachineLearningEngine.Projects.Models.Versions.Patch	patch(String name, GoogleCloudMlV1Version content) Updates the specified Version resource.
CloudMachineLearningEngine.Projects.Models.Versions.SetDefault	setDefault(String name, GoogleCloudMlV1SetDefaultVersionRequest content) Designates a version to be the default for the model.

Methods inherited from class java.lang.Object

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

Constructor Detail

Versions

public Versions()

Method Detail

create

public CloudMachineLearningEngine.Projects.Models.Versions.Create create(String parent,
                                                                         GoogleCloudMlV1Version content)
                                                                  throws IOException

Creates a new version of a model from a trained TensorFlow model. If the version created in the cloud by this call is the first deployed version of the specified model, it will be made the default version of the model. When you add a version to a model that already has one or more versions, the default version does not automatically change. If you want a new version to be the default, you must call projects.models.versions.setDefault. Create a request for the method "versions.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 name of the model.

content - the GoogleCloudMlV1Version

Returns:

the request

Throws:

IOException

delete

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

Deletes a model version. Each model can have multiple versions deployed and in use at any given time. Use this method to remove a single version. Note: You cannot delete the version that is set as the default version of the model unless it is the only remaining version. Create a request for the method "versions.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 version. You can get the names of all the versions of a model by calling projects.models.versions.list.

Returns:

the request

Throws:

IOException

get

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

Gets information about a model version. Models can have multiple versions. You can call projects.models.versions.list to get the same information that this method returns for all of the versions of a model. Create a request for the method "versions.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 version.

Returns:

the request

Throws:

IOException

list

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

Gets basic information about all the versions of a model. If you expect that a model has many versions, or if you need to handle only a limited number of results at a time, you can request that the list be retrieved in batches (called pages). If there are no versions that match the request parameters, the list request returns an empty response body: {}. Create a request for the method "versions.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 model for which to list the version.

Returns:

the request

Throws:

IOException

patch

public CloudMachineLearningEngine.Projects.Models.Versions.Patch patch(String name,
                                                                       GoogleCloudMlV1Version content)
                                                                throws IOException

Updates the specified Version resource. Currently the only update-able fields are `description`, `requestLoggingConfig`, `autoScaling.minNodes`, and `manualScaling.nodes`. Create a request for the method "versions.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 name of the model.

content - the GoogleCloudMlV1Version

Returns:

the request

Throws:

IOException

setDefault

public CloudMachineLearningEngine.Projects.Models.Versions.SetDefault setDefault(String name,
                                                                                 GoogleCloudMlV1SetDefaultVersionRequest content)
                                                                          throws IOException

Designates a version to be the default for the model. The default version is used for prediction requests made against the model that don't specify a version. The first version to be created for a model is automatically set as the default. You must make any subsequent changes to the default version setting manually using this method. Create a request for the method "versions.setDefault". 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 version to make the default for the model. You can get the names of all the versions of a model by calling projects.models.versions.list.

content - the GoogleCloudMlV1SetDefaultVersionRequest

Returns:

the request

Throws:

IOException