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public interface ModelMonitoringInputOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
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. |