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Example 16 with ModelServiceSettings

use of com.google.cloud.aiplatform.v1.ModelServiceSettings in project java-aiplatform by googleapis.

the class GetModelEvaluationImageObjectDetectionSample method getModelEvaluationImageObjectDetectionSample.

static void getModelEvaluationImageObjectDetectionSample(String project, String modelId, String evaluationId) throws IOException {
    ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
        String location = "us-central1";
        ModelEvaluationName modelEvaluationName = ModelEvaluationName.of(project, location, modelId, evaluationId);
        ModelEvaluation modelEvaluation = modelServiceClient.getModelEvaluation(modelEvaluationName);
        System.out.println("Get Model Evaluation Image Object Detection Response");
        System.out.format("\tName: %s\n", modelEvaluation.getName());
        System.out.format("\tMetrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
        System.out.format("\tMetrics: %s\n", modelEvaluation.getMetrics());
        System.out.format("\tCreate Time: %s\n", modelEvaluation.getCreateTime());
        System.out.format("\tSlice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
    }
}
Also used : ModelEvaluationName(com.google.cloud.aiplatform.v1.ModelEvaluationName) ModelEvaluation(com.google.cloud.aiplatform.v1.ModelEvaluation) ModelServiceSettings(com.google.cloud.aiplatform.v1.ModelServiceSettings) ModelServiceClient(com.google.cloud.aiplatform.v1.ModelServiceClient)

Example 17 with ModelServiceSettings

use of com.google.cloud.aiplatform.v1.ModelServiceSettings in project java-aiplatform by googleapis.

the class GetModelEvaluationSample method getModelEvaluationSample.

static void getModelEvaluationSample(String project, String modelId, String evaluationId) throws IOException {
    ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
        String location = "us-central1";
        ModelEvaluationName modelEvaluationName = ModelEvaluationName.of(project, location, modelId, evaluationId);
        ModelEvaluation modelEvaluation = modelServiceClient.getModelEvaluation(modelEvaluationName);
        System.out.println("Get Model Evaluation Response");
        System.out.format("Model Name: %s\n", modelEvaluation.getName());
        System.out.format("Metrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
        System.out.format("Metrics: %s\n", modelEvaluation.getMetrics());
        System.out.format("Create Time: %s\n", modelEvaluation.getCreateTime());
        System.out.format("Slice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
    }
}
Also used : ModelEvaluationName(com.google.cloud.aiplatform.v1.ModelEvaluationName) ModelEvaluation(com.google.cloud.aiplatform.v1.ModelEvaluation) ModelServiceSettings(com.google.cloud.aiplatform.v1.ModelServiceSettings) ModelServiceClient(com.google.cloud.aiplatform.v1.ModelServiceClient)

Example 18 with ModelServiceSettings

use of com.google.cloud.aiplatform.v1.ModelServiceSettings in project java-aiplatform by googleapis.

the class GetModelEvaluationSliceSample method getModelEvaluationSliceSample.

static void getModelEvaluationSliceSample(String project, String modelId, String evaluationId, String sliceId) throws IOException {
    ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
        String location = "us-central1";
        ModelEvaluationSliceName modelEvaluationSliceName = ModelEvaluationSliceName.of(project, location, modelId, evaluationId, sliceId);
        ModelEvaluationSlice modelEvaluationSlice = modelServiceClient.getModelEvaluationSlice(modelEvaluationSliceName);
        System.out.println("Get Model Evaluation Slice Response");
        System.out.format("Model Evaluation Slice Name: %s\n", modelEvaluationSlice.getName());
        System.out.format("Metrics Schema Uri: %s\n", modelEvaluationSlice.getMetricsSchemaUri());
        System.out.format("Metrics: %s\n", modelEvaluationSlice.getMetrics());
        System.out.format("Create Time: %s\n", modelEvaluationSlice.getCreateTime());
        Slice slice = modelEvaluationSlice.getSlice();
        System.out.format("Slice Dimensions: %s\n", slice.getDimension());
        System.out.format("Slice Value: %s\n", slice.getValue());
    }
}
Also used : ModelEvaluationSliceName(com.google.cloud.aiplatform.v1.ModelEvaluationSliceName) ModelEvaluationSlice(com.google.cloud.aiplatform.v1.ModelEvaluationSlice) Slice(com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice) ModelServiceSettings(com.google.cloud.aiplatform.v1.ModelServiceSettings) ModelServiceClient(com.google.cloud.aiplatform.v1.ModelServiceClient) ModelEvaluationSlice(com.google.cloud.aiplatform.v1.ModelEvaluationSlice)

Example 19 with ModelServiceSettings

use of com.google.cloud.aiplatform.v1.ModelServiceSettings in project java-aiplatform by googleapis.

the class GetModelEvaluationTextClassificationSample method getModelEvaluationTextClassificationSample.

static void getModelEvaluationTextClassificationSample(String project, String modelId, String evaluationId) throws IOException {
    ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
        String location = "us-central1";
        ModelEvaluationName modelEvaluationName = ModelEvaluationName.of(project, location, modelId, evaluationId);
        ModelEvaluation modelEvaluation = modelServiceClient.getModelEvaluation(modelEvaluationName);
        System.out.println("Get Model Evaluation Text Classification Response");
        System.out.format("\tModel Name: %s\n", modelEvaluation.getName());
        System.out.format("\tMetrics Schema Uri: %s\n", modelEvaluation.getMetricsSchemaUri());
        System.out.format("\tMetrics: %s\n", modelEvaluation.getMetrics());
        System.out.format("\tCreate Time: %s\n", modelEvaluation.getCreateTime());
        System.out.format("\tSlice Dimensions: %s\n", modelEvaluation.getSliceDimensionsList());
    }
}
Also used : ModelEvaluationName(com.google.cloud.aiplatform.v1.ModelEvaluationName) ModelEvaluation(com.google.cloud.aiplatform.v1.ModelEvaluation) ModelServiceSettings(com.google.cloud.aiplatform.v1.ModelServiceSettings) ModelServiceClient(com.google.cloud.aiplatform.v1.ModelServiceClient)

Aggregations

ModelServiceClient (com.google.cloud.aiplatform.v1.ModelServiceClient)19 ModelServiceSettings (com.google.cloud.aiplatform.v1.ModelServiceSettings)19 ModelEvaluationName (com.google.cloud.aiplatform.v1.ModelEvaluationName)12 ModelEvaluation (com.google.cloud.aiplatform.v1.ModelEvaluation)11 ModelName (com.google.cloud.aiplatform.v1.ModelName)5 ExportModelOperationMetadata (com.google.cloud.aiplatform.v1.ExportModelOperationMetadata)3 ExportModelRequest (com.google.cloud.aiplatform.v1.ExportModelRequest)3 ExportModelResponse (com.google.cloud.aiplatform.v1.ExportModelResponse)3 GcsDestination (com.google.cloud.aiplatform.v1.GcsDestination)3 Model (com.google.cloud.aiplatform.v1.Model)2 ModelContainerSpec (com.google.cloud.aiplatform.v1.ModelContainerSpec)2 ModelEvaluationSlice (com.google.cloud.aiplatform.v1.ModelEvaluationSlice)2 Slice (com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice)2 DeleteOperationMetadata (com.google.cloud.aiplatform.v1.DeleteOperationMetadata)1 DeployedModelRef (com.google.cloud.aiplatform.v1.DeployedModelRef)1 EnvVar (com.google.cloud.aiplatform.v1.EnvVar)1 LocationName (com.google.cloud.aiplatform.v1.LocationName)1 ExportFormat (com.google.cloud.aiplatform.v1.Model.ExportFormat)1 ModelEvaluationSliceName (com.google.cloud.aiplatform.v1.ModelEvaluationSliceName)1 Port (com.google.cloud.aiplatform.v1.Port)1