Add support for Core ML endpoint

visual-recognition/src/main/java/com/ibm/watson/developer_cloud/visual_recognition/v3/VisualRecognition.java

@@ -27,25 +27,20 @@
 import com.ibm.watson.developer_cloud.visual_recognition.v3.model.DetectFacesOptions;
 import com.ibm.watson.developer_cloud.visual_recognition.v3.model.DetectedFaces;
 import com.ibm.watson.developer_cloud.visual_recognition.v3.model.GetClassifierOptions;
+import com.ibm.watson.developer_cloud.visual_recognition.v3.model.GetCoreMlModelOptions;
 import com.ibm.watson.developer_cloud.visual_recognition.v3.model.ListClassifiersOptions;
 import com.ibm.watson.developer_cloud.visual_recognition.v3.model.UpdateClassifierOptions;
 import okhttp3.MultipartBody;
 import okhttp3.RequestBody;
 
 import java.io.File;
+import java.io.InputStream;
 
 /**
- * **Important:** As of September 8, 2017, the beta period for Similarity Search is closed. For more information, see
- * [Visual Recognition API – Similarity Search
- * Update](https://www.ibm.com/blogs/bluemix/2017/08/visual-recognition-api-similarity-search-update).
- *
  * The IBM Watson Visual Recognition service uses deep learning algorithms to identify scenes, objects, and faces in
  * images you upload to the service. You can create and train a custom classifier to identify subjects that suit your
  * needs.
  *
- * **Tip:** To test calls to the **Custom classifiers** methods with the API explorer, provide your `api_key` from your
- * IBM® Cloud service instance.
- *
  * @version v3
  * @see <a href="http://www.ibm.com/watson/developercloud/visual-recognition.html">Visual Recognition</a>
  */
@@ -169,9 +164,13 @@ public ServiceCall<ClassifiedImages> classify() {
   /**
    * Detect faces in images.
    *
-   * Analyze and get data about faces in images. Responses can include estimated age and gender, and the service can
-   * identify celebrities. This feature uses a built-in classifier, so you do not train it on custom classifiers. The
-   * Detect faces method does not support general biometric facial recognition.
+   * **Important:** On April 2, 2018, the identity information in the response to calls to the Face model will be
+   * removed. The identity information refers to the `name` of the person, `score`, and `type_hierarchy` knowledge
+   * graph. For details about the enhanced Face model, see the [Release
+   * notes](https://console.bluemix.net/docs/services/visual-recognition/release-notes.html#23february2018). Analyze and
+   * get data about faces in images. Responses can include estimated age and gender, and the service can identify
+   * celebrities. This feature uses a built-in classifier, so you do not train it on custom classifiers. The Detect
+   * faces method does not support general biometric facial recognition.
    *
    * @param detectFacesOptions the {@link DetectFacesOptions} containing the options for the call
    * @return a {@link ServiceCall} with a response type of {@link DetectedFaces}
@@ -205,9 +204,13 @@ public ServiceCall<DetectedFaces> detectFaces(DetectFacesOptions detectFacesOpti
   /**
    * Detect faces in images.
    *
-   * Analyze and get data about faces in images. Responses can include estimated age and gender, and the service can
-   * identify celebrities. This feature uses a built-in classifier, so you do not train it on custom classifiers. The
-   * Detect faces method does not support general biometric facial recognition.
+   * **Important:** On April 2, 2018, the identity information in the response to calls to the Face model will be
+   * removed. The identity information refers to the `name` of the person, `score`, and `type_hierarchy` knowledge
+   * graph. For details about the enhanced Face model, see the [Release
+   * notes](https://console.bluemix.net/docs/services/visual-recognition/release-notes.html#23february2018). Analyze and
+   * get data about faces in images. Responses can include estimated age and gender, and the service can identify
+   * celebrities. This feature uses a built-in classifier, so you do not train it on custom classifiers. The Detect
+   * faces method does not support general biometric facial recognition.
    *
    * @return a {@link ServiceCall} with a response type of {@link DetectedFaces}
    */
@@ -287,7 +290,7 @@ public ServiceCall<Classifier> getClassifier(GetClassifierOptions getClassifierO
   }
 
   /**
-   * Retrieve a list of custom classifiers.
+   * Retrieve a list of classifiers.
    *
    * @param listClassifiersOptions the {@link ListClassifiersOptions} containing the options for the call
    * @return a {@link ServiceCall} with a response type of {@link Classifiers}
@@ -305,7 +308,7 @@ public ServiceCall<Classifiers> listClassifiers(ListClassifiersOptions listClass
   }
 
   /**
-   * Retrieve a list of custom classifiers.
+   * Retrieve a list of classifiers.
    *
    * @return a {@link ServiceCall} with a response type of {@link Classifiers}
    */
@@ -323,7 +326,7 @@ public ServiceCall<Classifiers> listClassifiers() {
    * (https://console.bluemix.net/docs/services/visual-recognition/customizing.html#updating-custom-classifiers).
    * Encode all names in UTF-8 if they contain non-ASCII characters (.zip and image file names, and classifier and class
    * names). The service assumes UTF-8 encoding if it encounters non-ASCII characters. **Important:** You can't update a
-   * custom classifier with an API key for a Lite plan. To update a custom classifer on a Lite plan, create another
+   * custom classifier with an API key for a Lite plan. To update a custom classifier on a Lite plan, create another
    * service instance on a Standard plan and re-create your custom classifier. **Tip:** Don't make retraining calls on a
    * classifier until the status is ready. When you submit retraining requests in parallel, the last request overwrites
    * the previous requests. The retrained property shows the last time the classifier retraining finished.
@@ -360,4 +363,23 @@ public ServiceCall<Classifier> updateClassifier(UpdateClassifierOptions updateCl
     return createServiceCall(builder.build(), ResponseConverterUtils.getObject(Classifier.class));
   }
 
+  /**
+   * Retrieve a Core ML model of a classifier.
+   *
+   * Download a Core ML model file (.mlmodel) of a custom classifier that returns <tt>\"core_ml_enabled\": true</tt> in
+   * the classifier details.
+   *
+   * @param getCoreMlModelOptions the {@link GetCoreMlModelOptions} containing the options for the call
+   * @return a {@link ServiceCall} with a response type of {@link InputStream}
+   */
+  public ServiceCall<InputStream> getCoreMlModel(GetCoreMlModelOptions getCoreMlModelOptions) {
+    Validator.notNull(getCoreMlModelOptions, "getCoreMlModelOptions cannot be null");
+    String[] pathSegments = { "v3/classifiers", "core_ml_model" };
+    String[] pathParameters = { getCoreMlModelOptions.classifierId() };
+    RequestBuilder builder = RequestBuilder.get(RequestBuilder.constructHttpUrl(getEndPoint(), pathSegments,
+        pathParameters));
+    builder.query(VERSION, versionDate);
+    return createServiceCall(builder.build(), ResponseConverterUtils.getInputStream());
+  }
+
 }

visual-recognition/src/main/java/com/ibm/watson/developer_cloud/visual_recognition/v3/model/Classifier.java

@@ -42,10 +42,13 @@ public interface Status {
   private String name;
   private String owner;
   private String status;
+  @SerializedName("core_ml_enabled")
+  private Boolean coreMlEnabled;
   private String explanation;
   private Date created;
   private List<Class> classes;
   private Date retrained;
+  private Date updated;
 
   /**
    * Gets the classifierId.
@@ -92,6 +95,17 @@ public String getStatus() {
     return status;
   }
 
+  /**
+   * Gets the coreMlEnabled.
+   *
+   * Whether the classifier can be downloaded as a Core ML model after the training status is `ready`.
+   *
+   * @return the coreMlEnabled
+   */
+  public Boolean isCoreMlEnabled() {
+    return coreMlEnabled;
+  }
+
   /**
    * Gets the explanation.
    *
@@ -106,7 +120,7 @@ public String getExplanation() {
   /**
    * Gets the created.
    *
-   * Date and time in Coordinated Universal Time that the classifier was created.
+   * Date and time in Coordinated Universal Time (UTC) that the classifier was created.
    *
    * @return the created
    */
@@ -128,12 +142,24 @@ public List<Class> getClasses() {
   /**
    * Gets the retrained.
    *
-   * Date and time in Coordinated Universal Time that the classifier was updated. Returned when verbose=`true`. Might
-   * not be returned by some requests.
+   * Date and time in Coordinated Universal Time (UTC) that the classifier was updated. Returned when verbose=`true`.
+   * Might not be returned by some requests. Identical to `updated` and retained for backward compatibility.
    *
    * @return the retrained
    */
   public Date getRetrained() {
     return retrained;
   }
+
+  /**
+   * Gets the updated.
+   *
+   * Date and time in Coordinated Universal Time (UTC) that the classifier was most recently updated. The field matches
+   * either `retrained` or `created`. Returned when verbose=`true`. Might not be returned by some requests.
+   *
+   * @return the updated
+   */
+  public Date getUpdated() {
+    return updated;
+  }
 }

visual-recognition/src/main/java/com/ibm/watson/developer_cloud/visual_recognition/v3/model/Classifiers.java

@@ -17,7 +17,7 @@
 import com.ibm.watson.developer_cloud.service.model.GenericModel;
 
 /**
- * Verbose list of classifiers retrieved in the GET v2/classifiers call.
+ * List of classifiers.
  */
 public class Classifiers extends GenericModel {
 

visual-recognition/src/main/java/com/ibm/watson/developer_cloud/visual_recognition/v3/model/ClassifyOptions.java

@@ -12,27 +12,25 @@
  */
 package com.ibm.watson.developer_cloud.visual_recognition.v3.model;
 
-import com.ibm.watson.developer_cloud.service.model.GenericModel;
-import com.ibm.watson.developer_cloud.util.Validator;
-
 import java.io.File;
 import java.io.FileInputStream;
 import java.io.FileNotFoundException;
 import java.io.InputStream;
 import java.util.ArrayList;
 import java.util.List;
 
+import com.ibm.watson.developer_cloud.service.model.GenericModel;
+import com.ibm.watson.developer_cloud.util.Validator;
+
 /**
  * The classify options.
  */
 public class ClassifyOptions extends GenericModel {
 
   /**
-   * Specifies the language of the output class names. Can be `en` (English), `ar` (Arabic), `de` (German), `es`
-   * (Spanish), `it` (Italian), `ja` (Japanese), or `ko` (Korean). Classes for which no translation is available are
-   * omitted. The response might not be in the specified language under these conditions: - English is returned when the
-   * requested language is not supported. - Classes are not returned when there is no translation for them. - Custom
-   * classifiers returned with this method return tags in the language of the custom classifier.
+   * The language of the output class names. The full set of languages is supported only for the built-in `default`
+   * classifier ID. The class names of custom classifiers are not translated. The response might not be in the specified
+   * language when the requested language is not supported or when there is no translation for the class name.
    */
   public interface AcceptLanguage {
     /** en. */
@@ -43,6 +41,8 @@ public interface AcceptLanguage {
     String DE = "de";
     /** es. */
     String ES = "es";
+    /** fr. */
+    String FR = "fr";
     /** it. */
     String IT = "it";
     /** ja. */
@@ -277,8 +277,8 @@ public Builder newBuilder() {
    *
    * An image file (.jpg, .png) or .zip file with images. Maximum image size is 10 MB. Include no more than 20 images
    * and limit the .zip file to 100 MB. Encode the image and .zip file names in UTF-8 if they contain non-ASCII
-   * characters. The service assumes UTF-8 encoding if it encounters non-ASCII characters. You can also include images
-   * with the `url` property in the **parameters** object.
+   * characters. The service assumes UTF-8 encoding if it encounters non-ASCII characters. You can also include an image
+   * with the **url** parameter.
    *
    * @return the imagesFile
    */
@@ -300,11 +300,9 @@ public String imagesFilename() {
   /**
    * Gets the acceptLanguage.
    *
-   * Specifies the language of the output class names. Can be `en` (English), `ar` (Arabic), `de` (German), `es`
-   * (Spanish), `it` (Italian), `ja` (Japanese), or `ko` (Korean). Classes for which no translation is available are
-   * omitted. The response might not be in the specified language under these conditions: - English is returned when the
-   * requested language is not supported. - Classes are not returned when there is no translation for them. - Custom
-   * classifiers returned with this method return tags in the language of the custom classifier.
+   * The language of the output class names. The full set of languages is supported only for the built-in `default`
+   * classifier ID. The class names of custom classifiers are not translated. The response might not be in the specified
+   * language when the requested language is not supported or when there is no translation for the class name.
    *
    * @return the acceptLanguage
    */
@@ -315,8 +313,8 @@ public String acceptLanguage() {
   /**
    * Gets the url.
    *
-   * A string with the image URL to analyze. Must be in .jpg, or .png format. The minimum recommended pixel density is
-   * 32X32 pixels per inch, and the maximum image size is 10 MB. You can also include images in the **images_file**
+   * The URL of an image to analyze. Must be in .jpg, or .png format. The minimum recommended pixel density is 32X32
+   * pixels per inch, and the maximum image size is 10 MB. You can also include images with the **images_file**
    * parameter.
    *
    * @return the url
@@ -328,8 +326,7 @@ public String url() {
   /**
    * Gets the threshold.
    *
-   * A floating point value that specifies the minimum score a class must have to be displayed in the response. The
-   * default threshold for returning scores from a classifier is `0.5`. Set the threshold to `0.0` to ignore the
+   * The minimum score a class must have to be displayed in the response. Set the threshold to `0.0` to ignore the
    * classification score and return all values.
    *
    * @return the threshold
@@ -341,11 +338,11 @@ public Float threshold() {
   /**
    * Gets the owners.
    *
-   * An array of the categories of classifiers to apply. Use `IBM` to classify against the `default` general classifier,
-   * and use `me` to classify against your custom classifiers. To analyze the image against both classifier categories,
-   * set the value to both `IBM` and `me`. The built-in `default` classifier is used if both **classifier_ids** and
-   * **owners** parameters are empty. The **classifier_ids** parameter overrides **owners**, so make sure that
-   * **classifier_ids** is empty.
+   * The categories of classifiers to apply. Use `IBM` to classify against the `default` general classifier, and use
+   * `me` to classify against your custom classifiers. To analyze the image against both classifier categories, set the
+   * value to both `IBM` and `me`. The built-in `default` classifier is used if both **classifier_ids** and **owners**
+   * parameters are empty. The **classifier_ids** parameter overrides **owners**, so make sure that **classifier_ids**
+   * is empty.
    *
    * @return the owners
    */
@@ -356,13 +353,11 @@ public List<String> owners() {
   /**
    * Gets the classifierIds.
    *
-   * The **classifier_ids** parameter overrides **owners**, so make sure that **classifier_ids** is empty. -
-   * **classifier_ids**: Specifies which classifiers to apply and overrides the **owners** parameter. You can specify
-   * both custom and built-in classifiers. The built-in `default` classifier is used if both **classifier_ids** and
-   * **owners** parameters are empty. The following built-in classifier IDs require no training: - `default`: Returns
-   * classes from thousands of general tags. - `food`: (Beta) Enhances specificity and accuracy for images of food
-   * items. - `explicit`: (Beta) Evaluates whether the image might be pornographic. Example:
-   * `"classifier_ids="CarsvsTrucks_1479118188","explicit"`.
+   * Which classifiers to apply. Overrides the **owners** parameter. You can specify both custom and built-in
+   * classifiers. The built-in `default` classifier is used if both **classifier_ids** and **owners** parameters are
+   * empty. The following built-in classifier IDs require no training: - `default`: Returns classes from thousands of
+   * general tags. - `food`: (Beta) Enhances specificity and accuracy for images of food items. - `explicit`: (Beta)
+   * Evaluates whether the image might be pornographic.
    *
    * @return the classifierIds
    */

visual-recognition/src/main/java/com/ibm/watson/developer_cloud/visual_recognition/v3/model/CreateClassifierOptions.java

@@ -172,11 +172,10 @@ public String name() {
    * Gets the class names.
    *
    * A .zip file of images that depict the visual subject of a class in the new classifier. You can include more than
-   * one positive example file in a call. Append `_positive_examples` to the form name. The prefix is used as the class
+   * 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. The API
-   * explorer limits you to training only one class. To train more classes, use the API functionality.
+   * images is 10,000 images or 100 MB per .zip file. Encode special characters in the file name in UTF-8.
    *
    * @return the classNames
    */
@@ -197,8 +196,8 @@ public File positiveExamplesByClassName(String className) {
   /**
    * Gets the negativeExamples.
    *
-   * A compressed (.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.
+   * 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.
    *
    * @return the negativeExamples
    */