Automl

language/automl/README.md

@@ -3,13 +3,16 @@
 <a href="https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/java-docs-samples&page=editor&open_in_editor=vision/beta/cloud-client/README.md">
 <img alt="Open in Cloud Shell" src ="http://gstatic.com/cloudssh/images/open-btn.png"></a>
 
-[Google Cloud Natural Language API][language] provides feature detection for images.
+
+[Google Cloud AutoML Natural Language API][language] provides feature detection for images.
+
 This API is part of the larger collection of Cloud Machine Learning APIs.
 
 This sample Java application demonstrates how to access the Cloud Natural Language AutoML API
 using the [Google Cloud Client Library for Java][google-cloud-java].
 
-[language]: https://cloud.google.com/language/docs/
+
+[language]: https://cloud.google.com/language/automl/docs/
 [google-cloud-java]: https://github.com/GoogleCloudPlatform/google-cloud-java
 
 ## Set the environment variables
@@ -46,7 +49,7 @@ mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -D
 
 #### Import data
 ```
-mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -Dexec.args="import_data gs://java-docs-samples-testing/happiness.csv"
+mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -Dexec.args="import_data [dataset-id] gs://java-docs-samples-testing/happiness.csv"
 ```
 
 ### Model API

translate/automl/README.md

@@ -3,12 +3,18 @@
 <a href="https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/java-docs-samples&page=editor&open_in_editor=vision/beta/cloud-client/README.md">
 <img alt="Open in Cloud Shell" src ="http://gstatic.com/cloudssh/images/open-btn.png"></a>
 
-[Google Cloud Translate API][translate] provides feature AutoML.
+
+[Google Cloud AutoML Translation API][translate] provides feature AutoML.
+
 This API is part of the larger collection of Cloud Machine Learning APIs.
 
 This sample Java application demonstrates how to access the Cloud Translate AutoML API
 using the [Google Cloud Client Library for Java][google-cloud-java].
 
+
+[translate]: https://cloud.google.com/translate/automl/docs/
+[google-cloud-java]: https://github.com/GoogleCloudPlatform/google-cloud-java
+
 ## Set the environment variables
 
 PROJECT_ID = [Id of the project]
@@ -43,7 +49,7 @@ mvn exec:java -Dexec.mainClass="com.google.cloud.translate.samples.DatasetApi" -
 
 #### Import data
 ```
-mvn exec:java -Dexec.mainClass="com.google.cloud.translate.samples.DatasetApi" -Dexec.args="import_data gs://java-docs-samples-testing/en-ja.csv"
+mvn exec:java -Dexec.mainClass="com.google.cloud.translate.samples.DatasetApi" -Dexec.args="import_data [dataset-id] gs://java-docs-samples-testing/en-ja.csv"
 ```
 
 ### Model API

translate/automl/src/main/java/com/google/cloud/translate/automl/PredictionApi.java

@@ -47,8 +47,8 @@
 
 /**
  * Google Cloud AutoML Translate API sample application. Example usage: mvn package exec:java
- * -Dexec.mainClass ='com.google.cloud.vision.samples.automl.PredictionApi' -Dexec.args='predict
- * [modelId] [path-to-image] [scoreThreshold]'
+ * -Dexec.mainClass ='com.google.cloud.translate.automl.PredictionApi' -Dexec.args='predict
+ * [modelId] [file-path]'
  */
 public class PredictionApi {
 
@@ -61,16 +61,11 @@ public class PredictionApi {
    * @param computeRegion the Region name.
    * @param modelId the Id of the model which will be used for text classification.
    * @param filePath the Local text file path of the content to be classified.
-   * @param translationAllowFallback set to true to use a Google translation.
    * @throws IOException on Input/Output errors.
    */
   public static void predict(
-      String projectId,
-      String computeRegion,
-      String modelId,
-      String filePath,
-      boolean translationAllowFallback)
-      throws IOException {
+      String projectId, String computeRegion, String modelId, String filePath) throws IOException {
+
     // Instantiate client for prediction service.
     PredictionServiceClient predictionClient = PredictionServiceClient.create();
 
@@ -87,9 +82,6 @@ public static void predict(
 
     // Additional parameters that can be provided for prediction
     Map<String, String> params = new HashMap<>();
-    if (translationAllowFallback) {
-      params.put("translation_allow_fallback", "True");//Allow Google Translation Model
-    }
 
     PredictResponse response = predictionClient.predict(name, payload, params);
     TextSnippet translatedContent = response.getPayload(0).getTranslation().getTranslatedContent();
@@ -104,20 +96,17 @@ public static void main(String[] args) throws IOException {
   }
 
   public static void argsHelper(String[] args, PrintStream out) throws IOException {
-    ArgumentParser parser = ArgumentParsers.newFor("PredictionApi")
-        .build()
-        .defaultHelp(true)
-        .description("Prediction API Operation");
+    ArgumentParser parser =
+        ArgumentParsers.newFor("PredictionApi")
+            .build()
+            .defaultHelp(true)
+            .description("Prediction API Operation");
+
     Subparsers subparsers = parser.addSubparsers().dest("command");
 
     Subparser predictParser = subparsers.addParser("predict");
     predictParser.addArgument("modelId");
     predictParser.addArgument("filePath");
-    predictParser
-        .addArgument("translationAllowFallback")
-        .nargs("?")
-        .type(Boolean.class)
-        .setDefault(Boolean.FALSE);
 
     String projectId = System.getenv("PROJECT_ID");
     String computeRegion = System.getenv("REGION_NAME");
@@ -126,12 +115,8 @@ public static void argsHelper(String[] args, PrintStream out) throws IOException
     try {
       ns = parser.parseArgs(args);
       if (ns.get("command").equals("predict")) {
-        predict(
-            projectId,
-            computeRegion,
-            ns.getString("modelId"),
-            ns.getString("filePath"),
-            ns.getBoolean("translationAllowFallback"));
+        predict(projectId, computeRegion, ns.getString("modelId"), ns.getString("filePath"));
+
       }
     } catch (ArgumentParserException e) {
       parser.handleError(e);

translate/automl/src/test/java/com/google/cloud/translate/automl/PredictionApiIT.java

@@ -55,7 +55,7 @@ public void tearDown() {
   @Test
   public void testPredict() throws Exception {
     // Act
-    PredictionApi.predict(PROJECT_ID, COMPUTE_REGION, modelId, filePath,FALSE);
+    PredictionApi.predict(PROJECT_ID, COMPUTE_REGION, modelId, filePath);
 
     // Assert
     String got = bout.toString();

vision/automl/README.md

@@ -3,13 +3,15 @@
 <a href="https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/java-docs-samples&page=editor&open_in_editor=vision/beta/cloud-client/README.md">
 <img alt="Open in Cloud Shell" src ="http://gstatic.com/cloudssh/images/open-btn.png"></a>
 
-[Google Cloud Vision API][vision] provides feature detection for images.
+[Google Cloud AutoML Vision API][vision] provides feature detection for images.
+
 This API is part of the larger collection of Cloud Machine Learning APIs.
 
 This sample Java application demonstrates how to access the Cloud Vision API
 using the [Google Cloud Client Library for Java][google-cloud-java].
 
-[vision]: https://cloud.google.com/vision/docs/
+
+[vision]: https://cloud.google.com/vision/automl/docs/
 [google-cloud-java]: https://github.com/GoogleCloudPlatform/google-cloud-java
 
 ## Set the environment variables
@@ -45,14 +47,14 @@ mvn exec:java -Dexec.mainClass="com.google.cloud.vision.samples.automl.DatasetAp
 
 #### Import data
 ```
-mvn exec:java -Dexec.mainClass="com.google.cloud.vision.samples.automl.DatasetApi" -Dexec.args="import_data gs://java-docs-samples-testing/flower_traindata.csv"
+mvn exec:java -Dexec.mainClass="com.google.cloud.vision.samples.automl.DatasetApi" -Dexec.args="import_data [dataset-id] gs://java-docs-samples-testing/flower_traindata.csv"
 ```
 
 ### Model API
 
 #### Create Model
 ```
-mvn exec:java -Dexec.mainClass="com.google.cloud.vision.samples.automl.ModelApi" -Dexec.args="create_model test_model"
+mvn exec:java -Dexec.mainClass="com.google.cloud.vision.samples.automl.ModelApi" -Dexec.args="create_model [dataset-id] test_model [training-budget] "
 ```
 
 #### List Models
@@ -77,7 +79,7 @@ mvn exec:java -Dexec.mainClass="com.google.cloud.vision.samples.automl.ModelApi"
 
 #### Delete Model
 ```
-mvn exec:java-Dexec.mainClass="com.google.cloud.vision.samples.automl.ModeltApi" -Dexec.args="delete_model [model-id]"
+mvn exec:java-Dexec.mainClass="com.google.cloud.vision.samples.automl.ModelApi" -Dexec.args="delete_model [model-id]"
 ```
 ### Predict API
 

vision/automl/src/main/java/com/google/cloud/vision/samples/automl/PredictionApi.java

@@ -89,7 +89,7 @@ public static void predict(
     // Additional parameters that can be provided for prediction e.g. Score Threshold
     Map<String, String> params = new HashMap<>();
     if (scoreThreshold != null) {
-      params.put("scoreThreshold", scoreThreshold);
+      params.put("score_threshold", scoreThreshold);
     }
     // Perform the AutoML Prediction request
     PredictResponse response = predictionClient.predict(name, examplePayload, params);