ModelMonitoringInputOrBuilder (proto-google-cloud-aiplatform-v1beta1 0.62.0 API)

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelMonitoringInput, ModelMonitoringInput.Builder
```
public interface ModelMonitoringInputOrBuilder
extends com.google.protobuf.MessageOrBuilder
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`ModelMonitoringInput.BatchPredictionOutput`	`getBatchPredictionOutput()` Vertex AI Batch prediction Job.
`ModelMonitoringInput.BatchPredictionOutputOrBuilder`	`getBatchPredictionOutputOrBuilder()` Vertex AI Batch prediction Job.
`ModelMonitoringInput.ModelMonitoringDataset`	`getColumnizedDataset()` Columnized dataset.
`ModelMonitoringInput.ModelMonitoringDatasetOrBuilder`	`getColumnizedDatasetOrBuilder()` Columnized dataset.
`ModelMonitoringInput.DatasetCase`	`getDatasetCase()`
`com.google.type.Interval`	`getTimeInterval()` The time interval (pair of start_time and end_time) for which results should be returned.
`com.google.type.IntervalOrBuilder`	`getTimeIntervalOrBuilder()` The time interval (pair of start_time and end_time) for which results should be returned.
`ModelMonitoringInput.TimeOffset`	`getTimeOffset()` The time offset setting for which results should be returned.
`ModelMonitoringInput.TimeOffsetOrBuilder`	`getTimeOffsetOrBuilder()` The time offset setting for which results should be returned.
`ModelMonitoringInput.TimeSpecCase`	`getTimeSpecCase()`
`ModelMonitoringInput.VertexEndpointLogs`	`getVertexEndpointLogs()` Vertex AI Endpoint request & response logging.
`ModelMonitoringInput.VertexEndpointLogsOrBuilder`	`getVertexEndpointLogsOrBuilder()` Vertex AI Endpoint request & response logging.
`boolean`	`hasBatchPredictionOutput()` Vertex AI Batch prediction Job.
`boolean`	`hasColumnizedDataset()` Columnized dataset.
`boolean`	`hasTimeInterval()` The time interval (pair of start_time and end_time) for which results should be returned.
`boolean`	`hasTimeOffset()` The time offset setting for which results should be returned.
`boolean`	`hasVertexEndpointLogs()` Vertex AI Endpoint request & response logging.

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized

- Method Detail
  - 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
```
com.google.type.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
```
com.google.type.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()
```

Interface ModelMonitoringInputOrBuilder

Method Summary

Methods inherited from interface com.google.protobuf.MessageOrBuilder

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

Method Detail

hasColumnizedDataset

getColumnizedDataset

getColumnizedDatasetOrBuilder

hasBatchPredictionOutput

getBatchPredictionOutput

getBatchPredictionOutputOrBuilder

hasVertexEndpointLogs

getVertexEndpointLogs

getVertexEndpointLogsOrBuilder

hasTimeInterval

getTimeInterval

getTimeIntervalOrBuilder

hasTimeOffset

getTimeOffset

getTimeOffsetOrBuilder

getDatasetCase

getTimeSpecCase