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

Example 1 with ClassificationCollection

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

the class NaturalLanguageClassifierIT method fClassifyCollection.

/**
 * Test classifyCollection. Use the pre created classifier to avoid waiting for availability
 */
@Test
public void fClassifyCollection() {
    ClassificationCollection classificationCollection = null;
    ClassifyInput input1 = new ClassifyInput();
    input1.setText("How hot will it be today?");
    ClassifyInput input2 = new ClassifyInput();
    input2.setText("Is it hot outside?");
    try {
        ClassifyCollectionOptions classifyOptions = new ClassifyCollectionOptions.Builder().classifierId(preCreatedClassifierId).addClassifyInput(input1).addClassifyInput(input2).build();
        classificationCollection = service.classifyCollection(classifyOptions).execute();
    } catch (NotFoundException e) {
        // The build should not fail here, because this is out of our control.
        throw new AssumptionViolatedException(e.getMessage(), e);
    }
    assertNotNull(classificationCollection);
    assertEquals("temperature", classificationCollection.getCollection().get(0).getTopClass());
    assertEquals("temperature", classificationCollection.getCollection().get(1).getTopClass());
}

Example 2 with ClassificationCollection

use of com.ibm.watson.developer_cloud.natural_language_classifier.v1.model.ClassificationCollection 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 3 with ClassificationCollection

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

the class NaturalLanguageClassifierTest method testClassifyCollection.

/**
 * Test classifying a collection.
 *
 * @throws InterruptedException the interrupted exception
 */
@Test
public void testClassifyCollection() throws InterruptedException {
    final String path = String.format(CLASSIFY_COLLECTION_PATH, classifierId);
    server.enqueue(jsonResponse(classificationCollection));
    ClassifyInput input1 = new ClassifyInput();
    input1.setText("How hot will it be today?");
    ClassifyInput input2 = new ClassifyInput();
    input2.setText("Is it hot outside?");
    List<ClassifyInput> inputCollection = Arrays.asList(input1, input2);
    ClassifyCollectionOptions classifyOptions = new ClassifyCollectionOptions.Builder().classifierId(classifierId).collection(inputCollection).build();
    final ClassificationCollection result = service.classifyCollection(classifyOptions).execute();
    final RecordedRequest request = server.takeRequest();
    assertEquals(path, request.getPath());
    assertEquals("POST", request.getMethod());
    assertEquals(classificationCollection, result);
}