Examples with Classifiers com.ibm.watson.visual_recognition.v3.model.Classifiers used on opensource projects

Example 6 with Classifiers

use of com.ibm.watson.visual_recognition.v3.model.Classifiers in project java-sdk by watson-developer-cloud.

the class VisualRecognitionTest method testDeleteClassifierWOptions.

@Test
public void testDeleteClassifierWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "";
    String deleteClassifierPath = "/v3/classifiers/testString";
    server.enqueue(new MockResponse().setResponseCode(200).setBody(mockResponseBody));
    constructClientService();
    // Construct an instance of the DeleteClassifierOptions model
    DeleteClassifierOptions deleteClassifierOptionsModel = new DeleteClassifierOptions.Builder().classifierId("testString").build();
    // Invoke operation with valid options model (positive test)
    Response<Void> response = visualRecognitionService.deleteClassifier(deleteClassifierOptionsModel).execute();
    assertNotNull(response);
    Void responseObj = response.getResult();
    // Response does not have a return type. Check that the result is null.
    assertNull(responseObj);
    // Verify the contents of the request
    RecordedRequest request = server.takeRequest();
    assertNotNull(request);
    assertEquals(request.getMethod(), "DELETE");
    // Check query
    Map<String, String> query = TestUtilities.parseQueryString(request);
    assertNotNull(query);
    // Get query params
    assertEquals(query.get("version"), "testString");
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, deleteClassifierPath);
}

Example 7 with Classifiers

use of com.ibm.watson.visual_recognition.v3.model.Classifiers in project java-sdk by watson-developer-cloud.

the class VisualRecognitionTest method testUpdateClassifierWOptions.

@Test
public void testUpdateClassifierWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "{\"classifier_id\": \"classifierId\", \"name\": \"name\", \"owner\": \"owner\", \"status\": \"ready\", \"core_ml_enabled\": false, \"explanation\": \"explanation\", \"created\": \"2019-01-01T12:00:00.000Z\", \"classes\": [{\"class\": \"xClass\"}], \"retrained\": \"2019-01-01T12:00:00.000Z\", \"updated\": \"2019-01-01T12:00:00.000Z\"}";
    String updateClassifierPath = "/v3/classifiers/testString";
    server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
    constructClientService();
    // Construct an instance of the UpdateClassifierOptions model
    UpdateClassifierOptions updateClassifierOptionsModel = new UpdateClassifierOptions.Builder().classifierId("testString").positiveExamples(mockStreamMap).negativeExamples(TestUtilities.createMockStream("This is a mock file.")).negativeExamplesFilename("testString").build();
    // Invoke operation with valid options model (positive test)
    Response<Classifier> response = visualRecognitionService.updateClassifier(updateClassifierOptionsModel).execute();
    assertNotNull(response);
    Classifier 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);
    assertNotNull(query);
    // Get query params
    assertEquals(query.get("version"), "testString");
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, updateClassifierPath);
}

Example 8 with Classifiers

use of com.ibm.watson.visual_recognition.v3.model.Classifiers in project java-sdk by watson-developer-cloud.

the class VisualRecognitionTest method testClassifyWOptions.

@Test
public void testClassifyWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "{\"custom_classes\": 13, \"images_processed\": 15, \"images\": [{\"source_url\": \"sourceUrl\", \"resolved_url\": \"resolvedUrl\", \"image\": \"image\", \"error\": {\"code\": 4, \"description\": \"description\", \"error_id\": \"errorId\"}, \"classifiers\": [{\"name\": \"name\", \"classifier_id\": \"classifierId\", \"classes\": [{\"class\": \"xClass\", \"score\": 0, \"type_hierarchy\": \"typeHierarchy\"}]}]}], \"warnings\": [{\"warning_id\": \"warningId\", \"description\": \"description\"}]}";
    String classifyPath = "/v3/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().imagesFile(TestUtilities.createMockStream("This is a mock file.")).imagesFilename("testString").imagesFileContentType("testString").url("testString").threshold(Float.valueOf("36.0")).owners(new java.util.ArrayList<String>(java.util.Arrays.asList("testString"))).classifierIds(new java.util.ArrayList<String>(java.util.Arrays.asList("testString"))).acceptLanguage("en").build();
    // Invoke operation with valid options model (positive test)
    Response<ClassifiedImages> response = visualRecognitionService.classify(classifyOptionsModel).execute();
    assertNotNull(response);
    ClassifiedImages 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);
    assertNotNull(query);
    // Get query params
    assertEquals(query.get("version"), "testString");
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, classifyPath);
}

Example 9 with Classifiers

use of com.ibm.watson.visual_recognition.v3.model.Classifiers in project java-sdk by watson-developer-cloud.

the class VisualRecognitionTest method testGetCoreMlModelWOptions.

@Test
public void testGetCoreMlModelWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "This is a mock binary response.";
    String getCoreMlModelPath = "/v3/classifiers/testString/core_ml_model";
    server.enqueue(new MockResponse().setHeader("Content-type", "application/octet-stream").setResponseCode(200).setBody(mockResponseBody));
    constructClientService();
    // Construct an instance of the GetCoreMlModelOptions model
    GetCoreMlModelOptions getCoreMlModelOptionsModel = new GetCoreMlModelOptions.Builder().classifierId("testString").build();
    // Invoke operation with valid options model (positive test)
    Response<InputStream> response = visualRecognitionService.getCoreMlModel(getCoreMlModelOptionsModel).execute();
    assertNotNull(response);
    InputStream responseObj = response.getResult();
    assertNotNull(responseObj);
    // Verify the contents of the request
    RecordedRequest request = server.takeRequest();
    assertNotNull(request);
    assertEquals(request.getMethod(), "GET");
    // Check query
    Map<String, String> query = TestUtilities.parseQueryString(request);
    assertNotNull(query);
    // Get query params
    assertEquals(query.get("version"), "testString");
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, getCoreMlModelPath);
}

Example 10 with Classifiers

use of com.ibm.watson.visual_recognition.v3.model.Classifiers in project java-sdk by watson-developer-cloud.

the class VisualRecognitionIT method testGetCoreMlModel.

/**
 * Test getting the Core ML file for a classifier.
 */
@Ignore
@Test
public void testGetCoreMlModel() {
    ListClassifiersOptions options = new ListClassifiersOptions.Builder().verbose(true).build();
    List<Classifier> classifiers = service.listClassifiers(options).execute().getResult().getClassifiers();
    for (Classifier classifier : classifiers) {
        if (classifier.isCoreMlEnabled()) {
            GetCoreMlModelOptions getCoreMlModelOptions = new GetCoreMlModelOptions.Builder().classifierId(classifier.getClassifierId()).build();
            InputStream coreMlFile = service.getCoreMlModel(getCoreMlModelOptions).execute().getResult();
            assertNotNull(coreMlFile);
            break;
        }
    }
}