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ExportModelTabularClassificationSample.java
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/*
* Copyright 2020 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 aiplatform;
// [START aiplatform_export_model_tabular_classification_sample]
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.aiplatform.v1.ExportModelOperationMetadata;
import com.google.cloud.aiplatform.v1.ExportModelRequest;
import com.google.cloud.aiplatform.v1.ExportModelResponse;
import com.google.cloud.aiplatform.v1.GcsDestination;
import com.google.cloud.aiplatform.v1.ModelName;
import com.google.cloud.aiplatform.v1.ModelServiceClient;
import com.google.cloud.aiplatform.v1.ModelServiceSettings;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
public class ExportModelTabularClassificationSample {
public static void main(String[] args)
throws InterruptedException, ExecutionException, TimeoutException, IOException {
// TODO(developer): Replace these variables before running the sample.
String gcsDestinationOutputUriPrefix = "gs://your-gcs-bucket/destination_path";
String project = "YOUR_PROJECT_ID";
String modelId = "YOUR_MODEL_ID";
exportModelTableClassification(gcsDestinationOutputUriPrefix, project, modelId);
}
static void exportModelTableClassification(
String gcsDestinationOutputUriPrefix, String project, String modelId)
throws IOException, ExecutionException, InterruptedException, TimeoutException {
ModelServiceSettings modelServiceSettings =
ModelServiceSettings.newBuilder()
.setEndpoint("us-central1-aiplatform.googleapis.com:443")
.build();
// 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
String location = "us-central1";
ModelName modelName = ModelName.of(project, location, modelId);
GcsDestination.Builder gcsDestination = GcsDestination.newBuilder();
gcsDestination.setOutputUriPrefix(gcsDestinationOutputUriPrefix);
ExportModelRequest.OutputConfig outputConfig =
ExportModelRequest.OutputConfig.newBuilder()
.setExportFormatId("tf-saved-model")
.setArtifactDestination(gcsDestination)
.build();
OperationFuture<ExportModelResponse, ExportModelOperationMetadata> exportModelResponseFuture =
modelServiceClient.exportModelAsync(modelName, outputConfig);
System.out.format(
"Operation name: %s\n", exportModelResponseFuture.getInitialFuture().get().getName());
System.out.println("Waiting for operation to finish...");
ExportModelResponse exportModelResponse =
exportModelResponseFuture.get(300, TimeUnit.SECONDS);
System.out.format(
"Export Model Tabular Classification Response: %s", exportModelResponse.toString());
}
}
}
// [END aiplatform_export_model_tabular_classification_sample]