Search in sources :

Example 26 with ModelName

use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.

the class GetModelEvaluationTest method setUp.

@Before
public void setUp() throws IOException {
    // Get a model evaluation ID from the List request first to be used in the Get call
    try (AutoMlClient client = AutoMlClient.create()) {
        ModelName modelFullId = ModelName.of(PROJECT_ID, "us-central1", MODEL_ID);
        ListModelEvaluationsRequest modelEvaluationsrequest = ListModelEvaluationsRequest.newBuilder().setParent(modelFullId.toString()).build();
        ModelEvaluation modelEvaluation = client.listModelEvaluations(modelEvaluationsrequest).getPage().getValues().iterator().next();
        modelEvaluationId = modelEvaluation.getName().split("/modelEvaluations/")[1];
    }
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
}
Also used : PrintStream(java.io.PrintStream) ModelEvaluation(com.google.cloud.automl.v1.ModelEvaluation) ModelName(com.google.cloud.automl.v1.ModelName) ByteArrayOutputStream(java.io.ByteArrayOutputStream) ListModelEvaluationsRequest(com.google.cloud.automl.v1.ListModelEvaluationsRequest) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) Before(org.junit.Before)

Example 27 with ModelName

use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.

the class VisionObjectDetectionDeployModelNodeCount method visionObjectDetectionDeployModelNodeCount.

// Deploy a model for prediction with a specified node count (can be used to redeploy a model)
static void visionObjectDetectionDeployModelNodeCount(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // 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);
        ImageObjectDetectionModelDeploymentMetadata metadata = ImageObjectDetectionModelDeploymentMetadata.newBuilder().setNodeCount(2).build();
        DeployModelRequest request = DeployModelRequest.newBuilder().setName(modelFullId.toString()).setImageObjectDetectionModelDeploymentMetadata(metadata).build();
        OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
        future.get();
        System.out.println("Model deployment finished");
    }
}
Also used : DeployModelRequest(com.google.cloud.automl.v1.DeployModelRequest) Empty(com.google.protobuf.Empty) ModelName(com.google.cloud.automl.v1.ModelName) ImageObjectDetectionModelDeploymentMetadata(com.google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Example 28 with ModelName

use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.

the class ClassificationUndeployModel method classificationUndeployModel.

// Deploy a model
static void classificationUndeployModel(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // 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);
        // Build deploy model request.
        UndeployModelRequest undeployModelRequest = UndeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
        // Deploy a model with the deploy model request.
        OperationFuture<Empty, OperationMetadata> future = client.undeployModelAsync(undeployModelRequest);
        future.get();
        // Display the deployment details of model.
        System.out.println("Model undeploy finished");
    }
}
Also used : Empty(com.google.protobuf.Empty) ModelName(com.google.cloud.automl.v1.ModelName) UndeployModelRequest(com.google.cloud.automl.v1.UndeployModelRequest) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Example 29 with ModelName

use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.

the class ClassificationDeployModel method classificationDeployModel.

// Deploy a model
static void classificationDeployModel(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
    // 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);
        // Build deploy model request.
        DeployModelRequest deployModelRequest = DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();
        // Deploy a model with the deploy model request.
        OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(deployModelRequest);
        future.get();
        // Display the deployment details of model.
        System.out.println("Model deployment finished");
    }
}
Also used : DeployModelRequest(com.google.cloud.automl.v1beta1.DeployModelRequest) Empty(com.google.protobuf.Empty) ModelName(com.google.cloud.automl.v1beta1.ModelName) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient)

Example 30 with ModelName

use of com.google.cloud.automl.v1.ModelName in project java-automl by googleapis.

the class ListModelEvaluations method listModelEvaluations.

// List model evaluations
static void listModelEvaluations(String projectId, String modelId) throws IOException {
    // 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);
        ListModelEvaluationsRequest modelEvaluationsrequest = ListModelEvaluationsRequest.newBuilder().setParent(modelFullId.toString()).build();
        // List all the model evaluations in the model by applying filter.
        System.out.println("List of model evaluations:");
        for (ModelEvaluation modelEvaluation : client.listModelEvaluations(modelEvaluationsrequest).iterateAll()) {
            System.out.format("Model Evaluation Name: %s%n", modelEvaluation.getName());
            System.out.format("Model Annotation Spec Id: %s", modelEvaluation.getAnnotationSpecId());
            System.out.println("Create Time:");
            System.out.format("\tseconds: %s%n", modelEvaluation.getCreateTime().getSeconds());
            System.out.format("\tnanos: %s", modelEvaluation.getCreateTime().getNanos() / 1e9);
            System.out.format("Evalution Example Count: %d%n", modelEvaluation.getEvaluatedExampleCount());
            System.out.format("Tables Model Evaluation Metrics: %s%n", modelEvaluation.getClassificationEvaluationMetrics());
        }
    }
}
Also used : ModelEvaluation(com.google.cloud.automl.v1beta1.ModelEvaluation) ModelName(com.google.cloud.automl.v1beta1.ModelName) ListModelEvaluationsRequest(com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient)

Aggregations

ModelName (com.google.cloud.automl.v1.ModelName)24 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)16 ModelName (com.google.cloud.automl.v1beta1.ModelName)15 Empty (com.google.protobuf.Empty)13 AutoMlClient (com.google.cloud.automl.v1beta1.AutoMlClient)11 DeployModelRequest (com.google.cloud.automl.v1.DeployModelRequest)10 ByteArrayOutputStream (java.io.ByteArrayOutputStream)9 PrintStream (java.io.PrintStream)9 Before (org.junit.Before)9 Model (com.google.cloud.automl.v1.Model)8 PredictionServiceClient (com.google.cloud.automl.v1.PredictionServiceClient)8 OperationMetadata (com.google.cloud.automl.v1beta1.OperationMetadata)8 ExamplePayload (com.google.cloud.automl.v1.ExamplePayload)7 PredictResponse (com.google.cloud.automl.v1.PredictResponse)7 AnnotationPayload (com.google.cloud.automl.v1.AnnotationPayload)6 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)6 PredictRequest (com.google.cloud.automl.v1.PredictRequest)6 DeployModelRequest (com.google.cloud.automl.v1beta1.DeployModelRequest)5 TextSnippet (com.google.cloud.automl.v1.TextSnippet)4 PredictionServiceClient (com.google.cloud.automl.v1beta1.PredictionServiceClient)4