Uses of Class
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.Builder

Packages that use ModelMonitoringInput.Builder

Package	Description
com.google.cloud.aiplatform.v1beta1

Uses of ModelMonitoringInput.Builder in com.google.cloud.aiplatform.v1beta1

Methods in com.google.cloud.aiplatform.v1beta1 that return ModelMonitoringInput.Builder

Modifier and Type	Method	Description
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clear()
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearBatchPredictionOutput()	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearColumnizedDataset()	Columnized dataset.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearDataset()
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearTimeInterval()	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearTimeOffset()	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearTimeSpec()
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.clearVertexEndpointLogs()	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.Builder	ModelMonitoringObjectiveSpec.Builder.getBaselineDatasetBuilder()	Baseline dataset.
ModelMonitoringInput.Builder	ModelMonitoringObjectiveSpec.Builder.getTargetDatasetBuilder()	Target dataset.
ModelMonitoringInput.Builder	ModelMonitor.Builder.getTrainingDatasetBuilder()	Optional training dataset used to train the model.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)	Columnized dataset.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeFrom(ModelMonitoringInput other)
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeFrom(com.google.protobuf.Message other)
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeTimeInterval(Interval value)	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeTimeOffset(ModelMonitoringInput.TimeOffset value)	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)	Vertex AI Endpoint request & response logging.
static ModelMonitoringInput.Builder	ModelMonitoringInput.newBuilder()
static ModelMonitoringInput.Builder	ModelMonitoringInput.newBuilder(ModelMonitoringInput prototype)
ModelMonitoringInput.Builder	ModelMonitoringInput.newBuilderForType()
protected ModelMonitoringInput.Builder	ModelMonitoringInput.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput.Builder builderForValue)	Vertex AI Batch prediction Job.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)	Columnized dataset.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset.Builder builderForValue)	Columnized dataset.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setTimeInterval(Interval value)	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setTimeInterval(Interval.Builder builderForValue)	The time interval (pair of start_time and end_time) for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setTimeOffset(ModelMonitoringInput.TimeOffset value)	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setTimeOffset(ModelMonitoringInput.TimeOffset.Builder builderForValue)	The time offset setting for which results should be returned.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.Builder	ModelMonitoringInput.Builder.setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs.Builder builderForValue)	Vertex AI Endpoint request & response logging.
ModelMonitoringInput.Builder	ModelMonitoringInput.toBuilder()

Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type ModelMonitoringInput.Builder

Modifier and Type	Method	Description
ModelMonitoringObjectiveSpec.Builder	ModelMonitoringObjectiveSpec.Builder.setBaselineDataset(ModelMonitoringInput.Builder builderForValue)	Baseline dataset.
ModelMonitoringObjectiveSpec.Builder	ModelMonitoringObjectiveSpec.Builder.setTargetDataset(ModelMonitoringInput.Builder builderForValue)	Target dataset.
ModelMonitor.Builder	ModelMonitor.Builder.setTrainingDataset(ModelMonitoringInput.Builder builderForValue)	Optional training dataset used to train the model.