com.google.api.services.prediction

Class Prediction.Training

java.lang.Object

com.google.api.services.prediction.Prediction.Training

Enclosing class:

Prediction

public class Prediction.Training
extends Object

The "training" collection of methods.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Prediction.Training.Delete
class	Prediction.Training.Get
class	Prediction.Training.Insert
class	Prediction.Training.Update

Constructor Summary

Constructors

Constructor and Description
Prediction.Training()

Method Summary

Methods

Modifier and Type	Method and Description
Prediction.Training.Delete	delete(String data) Delete a trained model Create a request for the method "training.delete".
Prediction.Training.Get	get(String data) Check training status of your model Create a request for the method "training.get".
Prediction.Training.Insert	insert(Training content) Begin training your model Create a request for the method "training.insert".
Prediction.Training.Update	update(String data, Update content) Add new data to a trained model Create a request for the method "training.update".

Methods inherited from class java.lang.Object

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

Constructor Detail

Prediction.Training

public Prediction.Training()

Method Detail

delete

public Prediction.Training.Delete delete(String data)
                                  throws IOException

Delete a trained model Create a request for the method "training.delete". This request holds the parameters needed by the the prediction server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

data - mybucket/mydata resource in Google Storage

Returns:

the request

Throws:

IOException

get

public Prediction.Training.Get get(String data)
                            throws IOException

Check training status of your model Create a request for the method "training.get". This request holds the parameters needed by the the prediction server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

data - mybucket/mydata resource in Google Storage

Returns:

the request

Throws:

IOException

insert

public Prediction.Training.Insert insert(Training content)
                                  throws IOException

Begin training your model Create a request for the method "training.insert". This request holds the parameters needed by the the prediction server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

content - the Training

Returns:

the request

Throws:

IOException

update

public Prediction.Training.Update update(String data,
                                Update content)
                                  throws IOException

Add new data to a trained model Create a request for the method "training.update". This request holds the parameters needed by the the prediction server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

data - mybucket/mydata resource in Google Storage

content - the Update

Returns:

the request

Throws:

IOException