Package com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringInputOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringInput, ModelMonitoringInput.Builder
@Generated public interface ModelMonitoringInputOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasColumnizedDataset

      boolean hasColumnizedDataset()
       Columnized dataset.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
      Returns:
      Whether the columnizedDataset field is set.

    • getColumnizedDataset

      ModelMonitoringInput.ModelMonitoringDataset getColumnizedDataset()
       Columnized dataset.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
      Returns:
      The columnizedDataset.

    • getColumnizedDatasetOrBuilder

      ModelMonitoringInput.ModelMonitoringDatasetOrBuilder getColumnizedDatasetOrBuilder()
       Columnized dataset.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

    • hasBatchPredictionOutput

      boolean hasBatchPredictionOutput()
       Vertex AI Batch prediction Job.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
      Returns:
      Whether the batchPredictionOutput field is set.

    • getBatchPredictionOutput

      ModelMonitoringInput.BatchPredictionOutput getBatchPredictionOutput()
       Vertex AI Batch prediction Job.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
      Returns:
      The batchPredictionOutput.

    • getBatchPredictionOutputOrBuilder

      ModelMonitoringInput.BatchPredictionOutputOrBuilder getBatchPredictionOutputOrBuilder()
       Vertex AI Batch prediction Job.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

    • hasVertexEndpointLogs

      boolean hasVertexEndpointLogs()
       Vertex AI Endpoint request & response logging.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
      Returns:
      Whether the vertexEndpointLogs field is set.

    • getVertexEndpointLogs

      ModelMonitoringInput.VertexEndpointLogs getVertexEndpointLogs()
       Vertex AI Endpoint request & response logging.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
      Returns:
      The vertexEndpointLogs.

    • getVertexEndpointLogsOrBuilder

      ModelMonitoringInput.VertexEndpointLogsOrBuilder getVertexEndpointLogsOrBuilder()
       Vertex AI Endpoint request & response logging.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

    • hasTimeInterval

      boolean hasTimeInterval()
       The time interval (pair of start_time and end_time) for which results
 should be returned.
      .google.type.Interval time_interval = 6;
      Returns:
      Whether the timeInterval field is set.

    • getTimeInterval

      Interval getTimeInterval()
       The time interval (pair of start_time and end_time) for which results
 should be returned.
      .google.type.Interval time_interval = 6;
      Returns:
      The timeInterval.

    • getTimeIntervalOrBuilder

      IntervalOrBuilder getTimeIntervalOrBuilder()
       The time interval (pair of start_time and end_time) for which results
 should be returned.
      .google.type.Interval time_interval = 6;

    • hasTimeOffset

      boolean hasTimeOffset()
       The time offset setting for which results should be returned.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
      Returns:
      Whether the timeOffset field is set.

    • getTimeOffset

      ModelMonitoringInput.TimeOffset getTimeOffset()
       The time offset setting for which results should be returned.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
      Returns:
      The timeOffset.

    • getTimeOffsetOrBuilder

      ModelMonitoringInput.TimeOffsetOrBuilder getTimeOffsetOrBuilder()
       The time offset setting for which results should be returned.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

    • getDatasetCase

      ModelMonitoringInput.DatasetCase getDatasetCase()

    • getTimeSpecCase

      ModelMonitoringInput.TimeSpecCase getTimeSpecCase()