com.ibm.watson.developer_cloud.visual_recognition.v3.model

Class CreateClassifierOptions

java.lang.Object

com.ibm.watson.developer_cloud.service.model.GenericModel

com.ibm.watson.developer_cloud.visual_recognition.v3.model.CreateClassifierOptions

All Implemented Interfaces:

ObjectModel

public class CreateClassifierOptions
extends GenericModel

The createClassifier options.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CreateClassifierOptions.Builder Builder.

Method Summary

Modifier and Type	Method and Description
java.util.Set<java.lang.String>	classNames() Gets the class names.
java.lang.String	name() Gets the name.
java.io.InputStream	negativeExamples() Gets the negativeExamples.
java.lang.String	negativeExamplesFilename() Gets the negativeExamplesFilename.
CreateClassifierOptions.Builder	newBuilder() New builder.
java.io.File	positiveExamplesByClassName(java.lang.String className) Gets the positive examples by class name.

Methods inherited from class com.ibm.watson.developer_cloud.service.model.GenericModel

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

newBuilder

public CreateClassifierOptions.Builder newBuilder()

New builder.

Returns:

a CreateClassifierOptions builder

name

public java.lang.String name()

Gets the name. The name of the new classifier. Cannot contain special characters.

Returns:

the name

classNames

public java.util.Set<java.lang.String> classNames()

Gets the class names. A compressed (.zip) file of images that depict the visual subject for a class within the new classifier. Must contain a minimum of 10 images. The swagger limits you to training only one class. To train more classes, use the API functionality.

Returns:

the classNames

positiveExamplesByClassName

public java.io.File positiveExamplesByClassName(java.lang.String className)

Gets the positive examples by class name.

Parameters:

className - the class name

Returns:

the positiveExamples

negativeExamples

public java.io.InputStream negativeExamples()

Gets the negativeExamples. A compressed (.zip) file of images that do not depict the visual subject of any of the classes of the new classifier. Must contain a minimum of 10 images.

Returns:

the negativeExamples

negativeExamplesFilename

public java.lang.String negativeExamplesFilename()

Gets the negativeExamplesFilename. The filename for negativeExamples.

Returns:

the negativeExamplesFilename