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public static final class ModelMonitoringInput.Builder extends GeneratedMessageV3.Builder<ModelMonitoringInput.Builder> implements ModelMonitoringInputOrBuilder
Model 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 |