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public static final class ModelMonitoringInput.Builder extends GeneratedMessageV3.Builder<ModelMonitoringInput.Builder> implements ModelMonitoringInputOrBuilderModel monitoring data input spec.
Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringInput
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringInput.BuilderImplements
ModelMonitoringInputOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringInput.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
build()
public ModelMonitoringInput build()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput |
|
buildPartial()
public ModelMonitoringInput buildPartial()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput |
|
clear()
public ModelMonitoringInput.Builder clear()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearBatchPredictionOutput()
public ModelMonitoringInput.Builder clearBatchPredictionOutput()Vertex AI Batch prediction Job.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearColumnizedDataset()
public ModelMonitoringInput.Builder clearColumnizedDataset()Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearDataset()
public ModelMonitoringInput.Builder clearDataset()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringInput.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringInput.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearTimeInterval()
public ModelMonitoringInput.Builder clearTimeInterval()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 |
ModelMonitoringInput.Builder |
|
clearTimeOffset()
public ModelMonitoringInput.Builder clearTimeOffset()The time offset setting for which results should be returned.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearTimeSpec()
public ModelMonitoringInput.Builder clearTimeSpec()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clearVertexEndpointLogs()
public ModelMonitoringInput.Builder clearVertexEndpointLogs()Vertex AI Endpoint request & response logging.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
clone()
public ModelMonitoringInput.Builder clone()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
getBatchPredictionOutput()
public 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. |
getBatchPredictionOutputBuilder()
public ModelMonitoringInput.BatchPredictionOutput.Builder getBatchPredictionOutputBuilder()Vertex AI Batch prediction Job.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.BatchPredictionOutput.Builder |
|
getBatchPredictionOutputOrBuilder()
public 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 ModelMonitoringInput.ModelMonitoringDataset getColumnizedDataset()Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.ModelMonitoringDataset |
The columnizedDataset. |
getColumnizedDatasetBuilder()
public ModelMonitoringInput.ModelMonitoringDataset.Builder getColumnizedDatasetBuilder()Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.ModelMonitoringDataset.Builder |
|
getColumnizedDatasetOrBuilder()
public ModelMonitoringInput.ModelMonitoringDatasetOrBuilder getColumnizedDatasetOrBuilder()Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.ModelMonitoringDatasetOrBuilder |
|
getDatasetCase()
public ModelMonitoringInput.DatasetCase getDatasetCase()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.DatasetCase |
|
getDefaultInstanceForType()
public ModelMonitoringInput getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getTimeInterval()
public 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. |
getTimeIntervalBuilder()
public Interval.Builder getTimeIntervalBuilder()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.Builder |
|
getTimeIntervalOrBuilder()
public 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 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. |
getTimeOffsetBuilder()
public ModelMonitoringInput.TimeOffset.Builder getTimeOffsetBuilder()The time offset setting for which results should be returned.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.TimeOffset.Builder |
|
getTimeOffsetOrBuilder()
public 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 ModelMonitoringInput.TimeSpecCase getTimeSpecCase()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.TimeSpecCase |
|
getVertexEndpointLogs()
public 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. |
getVertexEndpointLogsBuilder()
public ModelMonitoringInput.VertexEndpointLogs.Builder getVertexEndpointLogsBuilder()Vertex AI Endpoint request & response logging.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.VertexEndpointLogs.Builder |
|
getVertexEndpointLogsOrBuilder()
public 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 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 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 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 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 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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)
public ModelMonitoringInput.Builder mergeBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)Vertex AI Batch prediction Job.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.BatchPredictionOutput |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)
public ModelMonitoringInput.Builder mergeColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.ModelMonitoringDataset |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeFrom(ModelMonitoringInput other)
public ModelMonitoringInput.Builder mergeFrom(ModelMonitoringInput other)| Parameter | |
|---|---|
| Name | Description |
other |
ModelMonitoringInput |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringInput.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public ModelMonitoringInput.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeTimeInterval(Interval value)
public ModelMonitoringInput.Builder mergeTimeInterval(Interval value)The time interval (pair of start_time and end_time) for which results should be returned.
.google.type.Interval time_interval = 6;
| Parameter | |
|---|---|
| Name | Description |
value |
com.google.type.Interval |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeTimeOffset(ModelMonitoringInput.TimeOffset value)
public ModelMonitoringInput.Builder mergeTimeOffset(ModelMonitoringInput.TimeOffset value)The time offset setting for which results should be returned.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.TimeOffset |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringInput.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)
public ModelMonitoringInput.Builder mergeVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)Vertex AI Endpoint request & response logging.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.VertexEndpointLogs |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)
public ModelMonitoringInput.Builder setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput value)Vertex AI Batch prediction Job.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.BatchPredictionOutput |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput.Builder builderForValue)
public ModelMonitoringInput.Builder setBatchPredictionOutput(ModelMonitoringInput.BatchPredictionOutput.Builder builderForValue)Vertex AI Batch prediction Job.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput batch_prediction_output = 2;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ModelMonitoringInput.BatchPredictionOutput.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)
public ModelMonitoringInput.Builder setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset value)Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.ModelMonitoringDataset |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset.Builder builderForValue)
public ModelMonitoringInput.Builder setColumnizedDataset(ModelMonitoringInput.ModelMonitoringDataset.Builder builderForValue)Columnized dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset columnized_dataset = 1;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ModelMonitoringInput.ModelMonitoringDataset.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringInput.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringInput.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setTimeInterval(Interval value)
public ModelMonitoringInput.Builder setTimeInterval(Interval value)The time interval (pair of start_time and end_time) for which results should be returned.
.google.type.Interval time_interval = 6;
| Parameter | |
|---|---|
| Name | Description |
value |
com.google.type.Interval |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setTimeInterval(Interval.Builder builderForValue)
public ModelMonitoringInput.Builder setTimeInterval(Interval.Builder builderForValue)The time interval (pair of start_time and end_time) for which results should be returned.
.google.type.Interval time_interval = 6;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
com.google.type.Interval.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setTimeOffset(ModelMonitoringInput.TimeOffset value)
public ModelMonitoringInput.Builder setTimeOffset(ModelMonitoringInput.TimeOffset value)The time offset setting for which results should be returned.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.TimeOffset |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setTimeOffset(ModelMonitoringInput.TimeOffset.Builder builderForValue)
public ModelMonitoringInput.Builder setTimeOffset(ModelMonitoringInput.TimeOffset.Builder builderForValue)The time offset setting for which results should be returned.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset time_offset = 7;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ModelMonitoringInput.TimeOffset.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringInput.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)
public ModelMonitoringInput.Builder setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs value)Vertex AI Endpoint request & response logging.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringInput.VertexEndpointLogs |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|
setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs.Builder builderForValue)
public ModelMonitoringInput.Builder setVertexEndpointLogs(ModelMonitoringInput.VertexEndpointLogs.Builder builderForValue)Vertex AI Endpoint request & response logging.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs vertex_endpoint_logs = 3;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ModelMonitoringInput.VertexEndpointLogs.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringInput.Builder |
|