Interface ModelMonitoringInputOrBuilder (3.52.0)

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public interface ModelMonitoringInputOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getBatchPredictionOutput()

public abstract ModelMonitoringInput.BatchPredictionOutput getBatchPredictionOutput()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
ModelMonitoringInput.BatchPredictionOutput	The batchPredictionOutput.

getBatchPredictionOutputOrBuilder()

public abstract ModelMonitoringInput.BatchPredictionOutputOrBuilder getBatchPredictionOutputOrBuilder()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
ModelMonitoringInput.BatchPredictionOutputOrBuilder

getColumnizedDataset()

public abstract ModelMonitoringInput.ModelMonitoringDataset getColumnizedDataset()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
ModelMonitoringInput.ModelMonitoringDataset	The columnizedDataset.

getColumnizedDatasetOrBuilder()

public abstract ModelMonitoringInput.ModelMonitoringDatasetOrBuilder getColumnizedDatasetOrBuilder()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
ModelMonitoringInput.ModelMonitoringDatasetOrBuilder

getDatasetCase()

public abstract ModelMonitoringInput.DatasetCase getDatasetCase()

Returns
Type	Description
ModelMonitoringInput.DatasetCase

getTimeInterval()

public abstract 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
Type	Description
com.google.type.Interval	The timeInterval.

getTimeIntervalOrBuilder()

public abstract IntervalOrBuilder getTimeIntervalOrBuilder()

The time interval (pair of start_time and end_time) for which results should be returned.

.google.type.Interval time_interval = 6;

Returns
Type	Description
com.google.type.IntervalOrBuilder

getTimeOffset()

public abstract ModelMonitoringInput.TimeOffset getTimeOffset()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
ModelMonitoringInput.TimeOffset	The timeOffset.

getTimeOffsetOrBuilder()

public abstract ModelMonitoringInput.TimeOffsetOrBuilder getTimeOffsetOrBuilder()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
ModelMonitoringInput.TimeOffsetOrBuilder

getTimeSpecCase()

public abstract ModelMonitoringInput.TimeSpecCase getTimeSpecCase()

Returns
Type	Description
ModelMonitoringInput.TimeSpecCase

getVertexEndpointLogs()

public abstract ModelMonitoringInput.VertexEndpointLogs getVertexEndpointLogs()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
ModelMonitoringInput.VertexEndpointLogs	The vertexEndpointLogs.

getVertexEndpointLogsOrBuilder()

public abstract ModelMonitoringInput.VertexEndpointLogsOrBuilder getVertexEndpointLogsOrBuilder()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
ModelMonitoringInput.VertexEndpointLogsOrBuilder

hasBatchPredictionOutput()

public abstract boolean hasBatchPredictionOutput()

Vertex AI Batch prediction Job.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;

Returns
Type	Description
boolean	Whether the batchPredictionOutput field is set.

hasColumnizedDataset()

public abstract boolean hasColumnizedDataset()

Columnized dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;

Returns
Type	Description
boolean	Whether the columnizedDataset field is set.

hasTimeInterval()

public abstract 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
Type	Description
boolean	Whether the timeInterval field is set.

hasTimeOffset()

public abstract boolean hasTimeOffset()

The time offset setting for which results should be returned.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;

Returns
Type	Description
boolean	Whether the timeOffset field is set.

hasVertexEndpointLogs()

public abstract boolean hasVertexEndpointLogs()

Vertex AI Endpoint request & response logging.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;

Returns
Type	Description
boolean	Whether the vertexEndpointLogs field is set.