Automl GA

automl/cloud-client/README.md

@@ -1,25 +1,25 @@
 # AutoML Samples
 
-<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">
+<a href="https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/java-docs-samples&page=editor&open_in_editor=automl/cloud-client/README.md">
 <img alt="Open in Cloud Shell" src ="http://gstatic.com/cloudssh/images/open-btn.png"></a>
 
 
 This directory contains samples for the [Google Cloud AutoML APIs](https://cloud.google.com/automl/) - [docs](https://cloud.google.com/automl/docs/)
 
 We highly reccommend that you refer to the official documentation pages:
-<!--* AutoML Natural Language
+* AutoML Natural Language
   * [Classification](https://cloud.google.com/natural-language/automl/docs)
   * [Entity Extraction](https://cloud.google.com/natural-language/automl/entity-analysis/docs)
-  * [Sentiment Analysis](https://cloud.google.com/natural-language/automl/sentiment/docs) -->
+  * [Sentiment Analysis](https://cloud.google.com/natural-language/automl/sentiment/docs)
 * [AutoML Translation](https://cloud.google.com/translate/automl/docs)
 <!--* AutoML Video Intelligence
   * [Classification](https://cloud.google.com/video-intelligence/automl/docs)
-  * [Object Tracking](https://cloud.google.com/video-intelligence/automl/object-tracking/docs)
+  * [Object Tracking](https://cloud.google.com/video-intelligence/automl/object-tracking/docs) -->
 * AutoML Vision
   * [Classification](https://cloud.google.com/vision/automl/docs)
-  * [Edge](https://cloud.google.com/vision/automl/docs/edge-quickstart)
+  <!--* [Edge](https://cloud.google.com/vision/automl/docs/edge-quickstart) -->
   * [Object Detection](https://cloud.google.com/vision/automl/object-detection/docs)
-* [AutoML Tables](https://cloud.google.com/automl-tables/docs)-->
+<!--* [AutoML Tables](https://cloud.google.com/automl-tables/docs)-->
 
 This API is part of the larger collection of Cloud Machine Learning APIs.
 
@@ -60,6 +60,9 @@ small section of code to print out the `metadata` field.
 * [Get Model](src/main/java/com/example/automl/)
 * [Get Model Evaluation](src/main/java/com/example/automl/GetModelEvaluation.java)
 * [Delete Model](src/main/java/com/example/automl/DeleteModel.java)
+* [Deploy Model](src/main/java/com/example/automl/DeployModel.java) - Not supported by Translation
+* [Uneploy Model](src/main/java/com/example/automl/UndeployModel.java) - Not supported by Translation
+
 
 ### Operation Management
 * [List Operation Statuses](src/main/java/com/example/automl/ListOperationStatus.java)
@@ -69,4 +72,34 @@ small section of code to print out the `metadata` field.
 ### Translation
 * [Translate Create Dataset](src/main/java/com/example/automl/TranslateCreateDataset.java)
 * [Translate Create Model](src/main/java/com/example/automl/TranslateCreateModel.java)
-* [Translate Predict](src/main/java/com/example/automl/TranslatePredict.java)
+* [Translate Predict](src/main/java/com/example/automl/TranslatePredict.java)
+
+### Natural Language Entity Extraction
+* [Entity Extraction Create Dataset](src/main/java/com/example/automl/LanguageEntityExtractionCreateDataset.java)
+* [Entity Extraction Create Model](src/main/java/com/example/automl/LanguageEntityExtractionCreateModel.java)
+* [Entity Extraction Predict](src/main/java/com/example/automl/LanguageEntityExtractionPredict.java)
+* [Entity Extraction Batch Predict](src/main/java/com/example/automl/LanguageBatchPredict.java)
+
+### Natural Language Sentiment Analysis
+* [Sentiment Analysis Create Dataset](src/main/java/com/example/automl/LanguageSentimentAnalysisCreateDataset.java)
+* [Sentiment Analysis Create Model](src/main/java/com/example/automl/LanguageSentimentAnalysisCreateModel.java)
+* [Sentiment Analysis Predict](src/main/java/com/example/automl/LanguageSentimentAnalysisPredict.java)
+
+### Natural Language Text Classification
+* [Text Classification Create Dataset](src/main/java/com/example/automl/LanguageTextClassificationCreateDataset.java)
+* [Text Classification Create Model](src/main/java/com/example/automl/LanguageTextClassificationCreateModel.java)
+* [Text Classification Predict](src/main/java/com/example/automl/LanguageTextClassificationPredict.java)
+
+### Vision Classification
+* [Classification Create Dataset](src/main/java/com/example/automl/VisionClassificationCreateDataset.java)
+* [Classification Create Model](src/main/java/com/example/automl/VisionClassificationCreateModel.java)
+* [Classification Predict](src/main/java/com/example/automl/VisionClassificationPredict.java)
+* [Classification Batch Predict](src/main/java/com/example/automl/VisionBatchPredict.java)
+* [Deploy Node Count](src/main/java/com/example/automl/VisionClassificationDeployModelNodeCount.java)
+
+### Vision Object Detection
+* [Object Detection Create Dataset](src/main/java/com/example/automl/VisionObjectDetectionCreateDataset.java)
+* [Object Detection Create Model](src/main/java/com/example/automl/VisionObjectDetectionCreateModel.java)
+* [Object Detection Predict](src/main/java/com/example/automl/VisionObjectDetectionPredict.java)
+* [Object Detection Batch Predict](src/main/java/com/example/automl/VisionBatchPredict.java)
+* [Deploy Node Count](src/main/java/com/example/automl/VisionObjectDetectionDeployModelNodeCount.java)

automl/cloud-client/pom.xml

@@ -37,7 +37,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-automl</artifactId>
-      <version>0.114.1-beta</version>
+      <version>0.115.0-beta</version>
     </dependency>
     <!-- [END automl_java_dependencies] -->
     <dependency>

automl/cloud-client/src/main/java/com/example/automl/DeleteModel.java

@@ -33,7 +33,7 @@ static void deleteModel() throws IOException, ExecutionException, InterruptedExc
     deleteModel(projectId, modelId);
   }
 
-  // Get a model
+  // Delete a model
   static void deleteModel(String projectId, String modelId)
       throws IOException, ExecutionException, InterruptedException {
     // Initialize client that will be used to send requests. This client only needs to be created

automl/cloud-client/src/main/java/com/example/automl/DeployModel.java

@@ -0,0 +1,57 @@
+/*
+ * Copyright 2019 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.example.automl;
+
+// [START automl_deploy_model]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1.AutoMlClient;
+import com.google.cloud.automl.v1.DeployModelRequest;
+import com.google.cloud.automl.v1.ModelName;
+import com.google.cloud.automl.v1.OperationMetadata;
+import com.google.protobuf.Empty;
+
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class DeployModel {
+
+  static void deployModel() throws IOException, ExecutionException, InterruptedException {
+    // TODO(developer): Replace these variables before running the sample.
+    String projectId = "YOUR_PROJECT_ID";
+    String modelId = "YOUR_MODEL_ID";
+    deployModel(projectId, modelId);
+  }
+
+  // Deploy a model for prediction
+  static void deployModel(String projectId, String modelId)
+      throws IOException, ExecutionException, InterruptedException {
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (AutoMlClient client = AutoMlClient.create()) {
+      // Get the full path of the model.
+      ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
+      DeployModelRequest request =
+          DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
+      OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
+
+      future.get();
+      System.out.println("Model deployment finished");
+    }
+  }
+}
+// [END automl_deploy_model]

automl/cloud-client/src/main/java/com/example/automl/ExportDataset.java

@@ -36,7 +36,7 @@ static void exportDataset() throws IOException, ExecutionException, InterruptedE
     exportDataset(projectId, datasetId, gcsUri);
   }
 
-  // Export a dataset
+  // Export a dataset to a GCS bucket
   static void exportDataset(String projectId, String datasetId, String gcsUri)
       throws IOException, ExecutionException, InterruptedException {
     // Initialize client that will be used to send requests. This client only needs to be created

automl/cloud-client/src/main/java/com/example/automl/GetDataset.java

@@ -16,8 +16,12 @@
 
 package com.example.automl;
 
+// [START automl_language_entity_extraction_get_dataset]
+// [START automl_language_sentiment_analysis_get_dataset]
+// [START automl_language_text_classification_get_dataset]
 // [START automl_translate_get_dataset]
-
+// [START automl_vision_classification_get_dataset]
+// [START automl_vision_object_detection_get_dataset]
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.cloud.automl.v1.Dataset;
 import com.google.cloud.automl.v1.DatasetName;
@@ -52,17 +56,60 @@ static void getDataset(String projectId, String datasetId) throws IOException {
       String retrievedDatasetId = names[names.length - 1];
       System.out.format("Dataset id: %s\n", retrievedDatasetId);
       System.out.format("Dataset display name: %s\n", dataset.getDisplayName());
+      System.out.println("Dataset create time:");
+      System.out.format("\tseconds: %s\n", dataset.getCreateTime().getSeconds());
+      System.out.format("\tnanos: %s\n", dataset.getCreateTime().getNanos());
+      // [END automl_language_sentiment_analysis_get_dataset]
+      // [END automl_language_text_classification_get_dataset]
+      // [END automl_translate_get_dataset]
+      // [END automl_vision_classification_get_dataset]
+      // [END automl_vision_object_detection_get_dataset]
+      System.out.format(
+          "Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
+      // [END automl_language_entity_extraction_get_dataset]
+
+      // [START automl_language_sentiment_analysis_get_dataset]
+      System.out.format(
+          "Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
+      // [END automl_language_sentiment_analysis_get_dataset]
+
+      // [START automl_language_text_classification_get_dataset]
+      System.out.format(
+          "Text classification dataset metadata: %s\n",
+          dataset.getTextClassificationDatasetMetadata());
+      // [END automl_language_text_classification_get_dataset]
+
+      // [START automl_translate_get_dataset]
       System.out.println("Translation dataset metadata:");
       System.out.format(
           "\tSource language code: %s\n",
           dataset.getTranslationDatasetMetadata().getSourceLanguageCode());
       System.out.format(
           "\tTarget language code: %s\n",
           dataset.getTranslationDatasetMetadata().getTargetLanguageCode());
-      System.out.println("Dataset create time:");
-      System.out.format("\tseconds: %s\n", dataset.getCreateTime().getSeconds());
-      System.out.format("\tnanos: %s\n", dataset.getCreateTime().getNanos());
+      // [END automl_translate_get_dataset]
+
+      // [START automl_vision_classification_get_dataset]
+      System.out.format(
+          "Image classification dataset metadata: %s\n",
+          dataset.getImageClassificationDatasetMetadata());
+      // [END automl_vision_classification_get_dataset]
+
+      // [START automl_vision_object_detection_get_dataset]
+      System.out.format(
+          "Image object detection dataset metadata: %s\n",
+          dataset.getImageObjectDetectionDatasetMetadata());
+      // [START automl_language_entity_extraction_get_dataset]
+      // [START automl_language_sentiment_analysis_get_dataset]
+      // [START automl_language_text_classification_get_dataset]
+      // [START automl_translate_get_dataset]
+      // [START automl_vision_classification_get_dataset]
     }
   }
 }
+// [END automl_language_entity_extraction_get_dataset]
+// [END automl_language_sentiment_analysis_get_dataset]
+// [END automl_language_text_classification_get_dataset]
 // [END automl_translate_get_dataset]
+// [END automl_vision_classification_get_dataset]
+// [END automl_vision_object_detection_get_dataset]

automl/cloud-client/src/main/java/com/example/automl/LanguageBatchPredict.java

@@ -0,0 +1,76 @@
+/*
+ * Copyright 2019 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.example.automl;
+
+// [START automl_language_batch_predict]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1.BatchPredictInputConfig;
+import com.google.cloud.automl.v1.BatchPredictOutputConfig;
+import com.google.cloud.automl.v1.BatchPredictRequest;
+import com.google.cloud.automl.v1.BatchPredictResult;
+import com.google.cloud.automl.v1.GcsDestination;
+import com.google.cloud.automl.v1.GcsSource;
+import com.google.cloud.automl.v1.ModelName;
+import com.google.cloud.automl.v1.OperationMetadata;
+import com.google.cloud.automl.v1.PredictionServiceClient;
+
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class LanguageBatchPredict {
+
+  static void batchPredict() throws IOException, ExecutionException, InterruptedException {
+    // TODO(developer): Replace these variables before running the sample.
+    String projectId = "YOUR_PROJECT_ID";
+    String modelId = "YOUR_MODEL_ID";
+    String inputUri = "gs://YOUR_BUCKET_ID/path_to_your_input_file.jsonl";
+    String outputUri = "gs://YOUR_BUCKET_ID/path_to_save_results/";
+    batchPredict(projectId, modelId, inputUri, outputUri);
+  }
+
+  static void batchPredict(String projectId, String modelId, String inputUri, String outputUri)
+      throws IOException, ExecutionException, InterruptedException {
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (PredictionServiceClient client = PredictionServiceClient.create()) {
+      // Get the full path of the model.
+      ModelName name = ModelName.of(projectId, "us-central1", modelId);
+      GcsSource gcsSource = GcsSource.newBuilder().addInputUris(inputUri).build();
+      BatchPredictInputConfig inputConfig =
+          BatchPredictInputConfig.newBuilder().setGcsSource(gcsSource).build();
+      GcsDestination gcsDestination =
+          GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
+      BatchPredictOutputConfig outputConfig =
+          BatchPredictOutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
+      BatchPredictRequest request =
+          BatchPredictRequest.newBuilder()
+              .setName(name.toString())
+              .setInputConfig(inputConfig)
+              .setOutputConfig(outputConfig)
+              .build();
+
+      OperationFuture<BatchPredictResult, OperationMetadata> future =
+          client.batchPredictAsync(request);
+
+      System.out.println("Waiting for operation to complete...");
+      BatchPredictResult response = future.get();
+      System.out.println("Batch Prediction results saved to specified Cloud Storage bucket.");
+    }
+  }
+}
+// [END automl_language_batch_predict]

automl/cloud-client/src/main/java/com/example/automl/LanguageEntityExtractionCreateDataset.java

@@ -0,0 +1,71 @@
+/*
+ * Copyright 2019 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.example.automl;
+
+// [START automl_language_entity_extraction_create_dataset]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.automl.v1.AutoMlClient;
+import com.google.cloud.automl.v1.Dataset;
+import com.google.cloud.automl.v1.LocationName;
+import com.google.cloud.automl.v1.OperationMetadata;
+import com.google.cloud.automl.v1.TextExtractionDatasetMetadata;
+
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+class LanguageEntityExtractionCreateDataset {
+
+  static void createDataset() throws IOException, ExecutionException, InterruptedException {
+    // TODO(developer): Replace these variables before running the sample.
+    String projectId = "YOUR_PROJECT_ID";
+    String displayName = "YOUR_DATASET_NAME";
+    createDataset(projectId, displayName);
+  }
+
+  // Create a dataset
+  static void createDataset(String projectId, String displayName)
+      throws IOException, ExecutionException, InterruptedException {
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (AutoMlClient client = AutoMlClient.create()) {
+      // A resource that represents Google Cloud Platform location.
+      LocationName projectLocation = LocationName.of(projectId, "us-central1");
+
+      TextExtractionDatasetMetadata metadata = TextExtractionDatasetMetadata.newBuilder().build();
+      Dataset dataset =
+          Dataset.newBuilder()
+              .setDisplayName(displayName)
+              .setTextExtractionDatasetMetadata(metadata)
+              .build();
+      OperationFuture<Dataset, OperationMetadata> future =
+          client.createDatasetAsync(projectLocation, dataset);
+
+      Dataset createdDataset = future.get();
+
+      // Display the dataset information.
+      System.out.format("Dataset name: %s\n", createdDataset.getName());
+      // To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
+      // required for other methods.
+      // Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
+      String[] names = createdDataset.getName().split("/");
+      String datasetId = names[names.length - 1];
+      System.out.format("Dataset id: %s\n", datasetId);
+    }
+  }
+}
+// [END automl_language_entity_extraction_create_dataset]