Examples with Classifier com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.Classifier used on opensource projects

Example 16 with Classifier

use of com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.Classifier in project java-sdk by watson-developer-cloud.

the class VisualRecognitionExample method main.

public static void main(String[] args) {
    VisualRecognition service = new VisualRecognition("2016-05-20");
    service.setApiKey("<api-key>");
    System.out.println("Classify an image");
    ClassifyOptions options = new ClassifyOptions.Builder().imagesFile(new File("src/test/resources/visual_recognition/car.png")).imagesFilename("car.png").build();
    ClassifiedImages result = service.classify(options).execute();
    System.out.println(result);
    System.out.println("Create a classifier with positive and negative images");
    CreateClassifierOptions createOptions = new CreateClassifierOptions.Builder().name("foo").addClass("car", new File("src/test/resources/visual_recognition/car_positive.zip")).addClass("baseball", new File("src/test/resources/visual_recognition/baseball_positive.zip")).negativeExamples(new File("src/test/resources/visual_recognition/negative.zip")).build();
    Classifier foo = service.createClassifier(createOptions).execute();
    System.out.println(foo);
    System.out.println("Classify using the 'Car' classifier");
    options = new ClassifyOptions.Builder().imagesFile(new File("src/test/resources/visual_recognition/car.png")).imagesFilename("car.png").addClassifierId(foo.getClassifierId()).build();
    result = service.classify(options).execute();
    System.out.println(result);
    System.out.println("Update a classifier with more positive images");
    UpdateClassifierOptions updateOptions = new UpdateClassifierOptions.Builder().classifierId(foo.getClassifierId()).addClass("car", new File("src/test/resources/visual_recognition/car_positive.zip")).build();
    Classifier updatedFoo = service.updateClassifier(updateOptions).execute();
    System.out.println(updatedFoo);
}

Example 17 with Classifier

use of com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.Classifier in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifier method classify.

/**
 * Classify a phrase.
 *
 * Returns label information for the input. The status must be `Available` before you can use the classifier to
 * classify text.
 *
 * @param classifyOptions the {@link ClassifyOptions} containing the options for the call
 * @return a {@link ServiceCall} with a response type of {@link Classification}
 */
public ServiceCall<Classification> classify(ClassifyOptions classifyOptions) {
    Validator.notNull(classifyOptions, "classifyOptions cannot be null");
    String[] pathSegments = { "v1/classifiers", "classify" };
    String[] pathParameters = { classifyOptions.classifierId() };
    RequestBuilder builder = RequestBuilder.post(RequestBuilder.constructHttpUrl(getEndPoint(), pathSegments, pathParameters));
    final JsonObject contentJson = new JsonObject();
    contentJson.addProperty("text", classifyOptions.text());
    builder.bodyJson(contentJson);
    return createServiceCall(builder.build(), ResponseConverterUtils.getObject(Classification.class));
}

Example 18 with Classifier

use of com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.Classifier in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifier method classifyCollection.

/**
 * Classify multiple phrases.
 *
 * Returns label information for multiple phrases. The status must be `Available` before you can use the classifier to
 * classify text. Note that classifying Japanese texts is a beta feature.
 *
 * @param classifyCollectionOptions the {@link ClassifyCollectionOptions} containing the options for the call
 * @return a {@link ServiceCall} with a response type of {@link ClassificationCollection}
 */
public ServiceCall<ClassificationCollection> classifyCollection(ClassifyCollectionOptions classifyCollectionOptions) {
    Validator.notNull(classifyCollectionOptions, "classifyCollectionOptions cannot be null");
    String[] pathSegments = { "v1/classifiers", "classify_collection" };
    String[] pathParameters = { classifyCollectionOptions.classifierId() };
    RequestBuilder builder = RequestBuilder.post(RequestBuilder.constructHttpUrl(getEndPoint(), pathSegments, pathParameters));
    final JsonObject contentJson = new JsonObject();
    contentJson.add("collection", GsonSingleton.getGson().toJsonTree(classifyCollectionOptions.collection()));
    builder.bodyJson(contentJson);
    return createServiceCall(builder.build(), ResponseConverterUtils.getObject(ClassificationCollection.class));
}

Example 19 with Classifier

use of com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.Classifier in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifierIT method eDelete.

/**
 * Test delete classifier. Do not delete the pre created classifier. We need it for classify
 */
@Test
public void eDelete() {
    List<Classifier> classifiers = service.listClassifiers().execute().getClassifiers();
    for (Classifier classifier : classifiers) {
        if (!classifier.getClassifierId().equals(preCreatedClassifierId)) {
            DeleteClassifierOptions deleteOptions = new DeleteClassifierOptions.Builder().classifierId(classifier.getClassifierId()).build();
            service.deleteClassifier(deleteOptions).execute();
        }
    }
}

Example 20 with Classifier

use of com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.Classifier in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifierIT method bGetClassifier.

/**
 * Test get classifier.
 */
@Test
public void bGetClassifier() {
    final Classifier classifier;
    try {
        GetClassifierOptions getOptions = new GetClassifierOptions.Builder().classifierId(classifierId).build();
        classifier = service.getClassifier(getOptions).execute();
    } catch (NotFoundException e) {
        // The build should not fail here, because this is out of our control.
        throw new AssumptionViolatedException(e.getMessage(), e);
    }
    assertNotNull(classifier);
    assertEquals(classifierId, classifier.getClassifierId());
    assertEquals(Classifier.Status.TRAINING, classifier.getStatus());
}