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Example 6 with ClassificationType

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

the class LanguageTextClassificationCreateDataset method createDataset.

// Create a dataset
static void createDataset(String projectId, 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");
        // Specify the classification type
        // Types:
        // MultiLabel: Multiple labels are allowed for one example.
        // MultiClass: At most one label is allowed per example.
        ClassificationType classificationType = ClassificationType.MULTILABEL;
        // Specify the text classification type for the dataset.
        TextClassificationDatasetMetadata metadata = TextClassificationDatasetMetadata.newBuilder().setClassificationType(classificationType).build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTextClassificationDatasetMetadata(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);
    }
}
Also used : Dataset(com.google.cloud.automl.v1.Dataset) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) ClassificationType(com.google.cloud.automl.v1.ClassificationType) TextClassificationDatasetMetadata(com.google.cloud.automl.v1.TextClassificationDatasetMetadata) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Example 7 with ClassificationType

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

the class VisionClassificationCreateDataset method createDataset.

// Create a dataset
static void createDataset(String projectId, 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");
        // Specify the classification type
        // Types:
        // MultiLabel: Multiple labels are allowed for one example.
        // MultiClass: At most one label is allowed per example.
        ClassificationType classificationType = ClassificationType.MULTILABEL;
        ImageClassificationDatasetMetadata metadata = ImageClassificationDatasetMetadata.newBuilder().setClassificationType(classificationType).build();
        Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setImageClassificationDatasetMetadata(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);
    }
}
Also used : ImageClassificationDatasetMetadata(com.google.cloud.automl.v1.ImageClassificationDatasetMetadata) Dataset(com.google.cloud.automl.v1.Dataset) OperationMetadata(com.google.cloud.automl.v1.OperationMetadata) ClassificationType(com.google.cloud.automl.v1.ClassificationType) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient) LocationName(com.google.cloud.automl.v1.LocationName)

Aggregations

ClassificationType (oasis.names.tc.ebxml_regrep.xsd.rim._3.ClassificationType)5 ArrayList (java.util.ArrayList)3 ExtrinsicObjectType (oasis.names.tc.ebxml_regrep.xsd.rim._3.ExtrinsicObjectType)3 SlotType1 (oasis.names.tc.ebxml_regrep.xsd.rim._3.SlotType1)3 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)2 ClassificationType (com.google.cloud.automl.v1.ClassificationType)2 Dataset (com.google.cloud.automl.v1.Dataset)2 LocationName (com.google.cloud.automl.v1.LocationName)2 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)2 JAXBElement (javax.xml.bind.JAXBElement)2 AssociationType1 (oasis.names.tc.ebxml_regrep.xsd.rim._3.AssociationType1)2 IdentifiableType (oasis.names.tc.ebxml_regrep.xsd.rim._3.IdentifiableType)2 RegistryObjectListType (oasis.names.tc.ebxml_regrep.xsd.rim._3.RegistryObjectListType)2 RegistryPackageType (oasis.names.tc.ebxml_regrep.xsd.rim._3.RegistryPackageType)2 ImageClassificationDatasetMetadata (com.google.cloud.automl.v1.ImageClassificationDatasetMetadata)1 TextClassificationDatasetMetadata (com.google.cloud.automl.v1.TextClassificationDatasetMetadata)1 HashMap (java.util.HashMap)1 Map (java.util.Map)1 QName (javax.xml.namespace.QName)1 AnyValueType (net.opengis.cat.wrs.v_1_0_2.AnyValueType)1