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

Example 1 with Classification

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

the class NaturalLanguageClassifierIT method dClassify.

/**
 * Test classify. Use the pre created classifier to avoid waiting for availability
 */
@Test
public void dClassify() {
    Classification classification = null;
    try {
        ClassifyOptions classifyOptions = new ClassifyOptions.Builder().classifierId(preCreatedClassifierId).text("is it hot outside?").build();
        classification = service.classify(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(classification);
    assertEquals("temperature", classification.getTopClass());
}

Example 2 with Classification

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

the class NaturalLanguageClassifierTest method testClassifyWOptions.

@Test
public void testClassifyWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "{\"classifier_id\": \"classifierId\", \"url\": \"url\", \"text\": \"text\", \"top_class\": \"topClass\", \"classes\": [{\"confidence\": 10, \"class_name\": \"className\"}]}";
    String classifyPath = "/v1/classifiers/testString/classify";
    server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
    constructClientService();
    // Construct an instance of the ClassifyOptions model
    ClassifyOptions classifyOptionsModel = new ClassifyOptions.Builder().classifierId("testString").text("testString").build();
    // Invoke operation with valid options model (positive test)
    Response<Classification> response = naturalLanguageClassifierService.classify(classifyOptionsModel).execute();
    assertNotNull(response);
    Classification responseObj = response.getResult();
    assertNotNull(responseObj);
    // Verify the contents of the request
    RecordedRequest request = server.takeRequest();
    assertNotNull(request);
    assertEquals(request.getMethod(), "POST");
    // Check query
    Map<String, String> query = TestUtilities.parseQueryString(request);
    assertNull(query);
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, classifyPath);
}

Example 3 with Classification

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

the class NaturalLanguageClassifierIT method dClassify.

/**
 * Test classify. Use the pre created classifier to avoid waiting for availability
 */
@Test
public void dClassify() {
    Classification classification = null;
    try {
        ClassifyOptions classifyOptions = new ClassifyOptions.Builder().classifierId(preCreatedClassifierId).text("is it hot outside?").build();
        classification = service.classify(classifyOptions).execute().getResult();
    } catch (NotFoundException e) {
        // The build should not fail here, because this is out of our control.
        throw new AssumptionViolatedException(e.getMessage(), e);
    }
    assertNotNull(classification);
    assertEquals("temperature", classification.getTopClass());
}

Example 4 with Classification

use of com.ibm.watson.natural_language_classifier.v1.model.Classification 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 5 with Classification

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

the class NaturalLanguageClassifierExample method main.

public static void main(String[] args) {
    NaturalLanguageClassifier service = new NaturalLanguageClassifier();
    service.setUsernameAndPassword("<username>", "<password>");
    ClassifyOptions classifyOptions = new ClassifyOptions.Builder().classifierId("<classifierId>").text("Is it sunny?").build();
    Classification classification = service.classify(classifyOptions).execute();
    System.out.println(classification);
}