com.ibm.watson.visual_recognition.v3.model

Class UpdateClassifierOptions

java.lang.Object

com.ibm.cloud.sdk.core.service.model.GenericModel

com.ibm.watson.visual_recognition.v3.model.UpdateClassifierOptions

All Implemented Interfaces:

com.ibm.cloud.sdk.core.service.model.ObjectModel

public class UpdateClassifierOptions
extends com.ibm.cloud.sdk.core.service.model.GenericModel

The updateClassifier options.

Nested Class Summary

Nested Classes

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

Method Summary

Modifier and Type	Method and Description
java.lang.String	classifierId() Gets the classifierId.
java.io.InputStream	negativeExamples() Gets the negativeExamples.
java.lang.String	negativeExamplesFilename() Gets the negativeExamplesFilename.
UpdateClassifierOptions.Builder	newBuilder() New builder.
java.util.Map<java.lang.String,java.io.InputStream>	positiveExamples() Gets the positiveExamples.

Methods inherited from class com.ibm.cloud.sdk.core.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 UpdateClassifierOptions.Builder newBuilder()

New builder.

Returns:

a UpdateClassifierOptions builder

classifierId

public java.lang.String classifierId()

Gets the classifierId. The ID of the classifier.

Returns:

the classifierId

positiveExamples

public java.util.Map<java.lang.String,java.io.InputStream> positiveExamples()

Gets the positiveExamples. A .zip file of images that depict the visual subject of a class in the classifier. The positive examples create or update classes in the classifier. You can include more than one positive example file in a call. Specify the parameter name by appending `_positive_examples` to the class name. For example, `goldenretriever_positive_examples` creates the class `goldenretriever`. Include at least 10 images in .jpg or .png format. The minimum recommended image resolution is 32X32 pixels. The maximum number of images is 10,000 images or 100 MB per .zip file. Encode special characters in the file name in UTF-8.

Returns:

the positiveExamples

negativeExamples

public java.io.InputStream negativeExamples()

Gets the negativeExamples. A .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. Encode special characters in the file name in UTF-8.

Returns:

the negativeExamples

negativeExamplesFilename

public java.lang.String negativeExamplesFilename()

Gets the negativeExamplesFilename. The filename for negativeExamples.

Returns:

the negativeExamplesFilename