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Example 36 with OperationMetadata

use of com.google.cloud.vision.v1p4beta1.OperationMetadata in project java-automl by googleapis.

the class LanguageSentimentAnalysisCreateModel method createModel.

// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
    // 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");
        // Set model metadata.
        System.out.println(datasetId);
        TextSentimentModelMetadata metadata = TextSentimentModelMetadata.newBuilder().build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTextSentimentModelMetadata(metadata).build();
        // Create a model with the model metadata in the region.
        OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
        // OperationFuture.get() will block until the model is created, which may take several hours.
        // You can use OperationFuture.getInitialFuture to get a future representing the initial
        // response to the request, which contains information while the operation is in progress.
        System.out.format("Training operation name: %s\n", future.getInitialFuture().get().getName());
        System.out.println("Training started...");
    }
}
Also used : TextSentimentModelMetadata(com.google.cloud.automl.v1.TextSentimentModelMetadata) Model(com.google.cloud.automl.v1.Model) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 37 with OperationMetadata

use of com.google.cloud.vision.v1p4beta1.OperationMetadata in project java-automl by googleapis.

the class TablesCreateModel method createModel.

// Create a model
static void createModel(String projectId, String datasetId, String tableSpecId, String columnSpecId, String displayName) throws IOException, ExecutionException, InterruptedException {
    // 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");
        // Get the complete path of the column.
        ColumnSpecName columnSpecName = ColumnSpecName.of(projectId, "us-central1", datasetId, tableSpecId, columnSpecId);
        // Build the get column spec.
        ColumnSpec targetColumnSpec = ColumnSpec.newBuilder().setName(columnSpecName.toString()).build();
        // Set model metadata.
        TablesModelMetadata metadata = TablesModelMetadata.newBuilder().setTargetColumnSpec(targetColumnSpec).setTrainBudgetMilliNodeHours(24000).build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setTablesModelMetadata(metadata).build();
        // Create a model with the model metadata in the region.
        OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
        // OperationFuture.get() will block until the model is created, which may take several hours.
        // You can use OperationFuture.getInitialFuture to get a future representing the initial
        // response to the request, which contains information while the operation is in progress.
        System.out.format("Training operation name: %s%n", future.getInitialFuture().get().getName());
        System.out.println("Training started...");
    }
}
Also used : ColumnSpecName(com.google.cloud.automl.v1beta1.ColumnSpecName) ColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec) TablesModelMetadata(com.google.cloud.automl.v1beta1.TablesModelMetadata) Model(com.google.cloud.automl.v1beta1.Model) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 38 with OperationMetadata

use of com.google.cloud.vision.v1p4beta1.OperationMetadata in project java-automl by googleapis.

the class VideoClassificationCreateModel method createModel.

// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
    // 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");
        // Set model metadata.
        VideoClassificationModelMetadata metadata = VideoClassificationModelMetadata.newBuilder().build();
        Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setVideoClassificationModelMetadata(metadata).build();
        // Create a model with the model metadata in the region.
        OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
        // OperationFuture.get() will block until the model is created, which may take several hours.
        // You can use OperationFuture.getInitialFuture to get a future representing the initial
        // response to the request, which contains information while the operation is in progress.
        System.out.format("Training operation name: %s%n", future.getInitialFuture().get().getName());
        System.out.println("Training started...");
    }
}
Also used : VideoClassificationModelMetadata(com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) Model(com.google.cloud.automl.v1beta1.Model) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Aggregations

OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)19 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)18 OperationMetadata (com.google.cloud.automl.v1beta1.OperationMetadata)13 Empty (com.google.protobuf.Empty)13 LocationName (com.google.cloud.automl.v1.LocationName)12 AutoMlClient (com.google.cloud.automl.v1beta1.AutoMlClient)11 ModelName (com.google.cloud.automl.v1beta1.ModelName)8 Dataset (com.google.cloud.automl.v1.Dataset)6 Model (com.google.cloud.automl.v1.Model)6 ModelName (com.google.cloud.automl.v1.ModelName)6 DeployModelRequest (com.google.cloud.automl.v1beta1.DeployModelRequest)4 DeployModelRequest (com.google.cloud.automl.v1.DeployModelRequest)3 LocationName (com.google.cloud.automl.v1beta1.LocationName)3 Model (com.google.cloud.automl.v1beta1.Model)3 Blob (com.google.cloud.storage.Blob)3 Bucket (com.google.cloud.storage.Bucket)3 Storage (com.google.cloud.storage.Storage)3 Page (com.google.api.gax.paging.Page)2 ClassificationType (com.google.cloud.automl.v1.ClassificationType)2 GcsSource (com.google.cloud.automl.v1.GcsSource)2