Class ModelMonitoringInput (3.49.0)

public final class ModelMonitoringInput extends GeneratedMessageV3 implements ModelMonitoringInputOrBuilder

Model monitoring data input spec.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringInput

Static Fields

BATCH_PREDICTION_OUTPUT_FIELD_NUMBER

public static final int BATCH_PREDICTION_OUTPUT_FIELD_NUMBER
Field Value
Type Description
int

COLUMNIZED_DATASET_FIELD_NUMBER

public static final int COLUMNIZED_DATASET_FIELD_NUMBER
Field Value
Type Description
int

TIME_INTERVAL_FIELD_NUMBER

public static final int TIME_INTERVAL_FIELD_NUMBER
Field Value
Type Description
int

TIME_OFFSET_FIELD_NUMBER

public static final int TIME_OFFSET_FIELD_NUMBER
Field Value
Type Description
int

VERTEX_ENDPOINT_LOGS_FIELD_NUMBER

public static final int VERTEX_ENDPOINT_LOGS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ModelMonitoringInput getDefaultInstance()
Returns
Type Description
ModelMonitoringInput

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static ModelMonitoringInput.Builder newBuilder()
Returns
Type Description
ModelMonitoringInput.Builder

newBuilder(ModelMonitoringInput prototype)

public static ModelMonitoringInput.Builder newBuilder(ModelMonitoringInput prototype)
Parameter
Name Description
prototype ModelMonitoringInput
Returns
Type Description
ModelMonitoringInput.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringInput parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringInput parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ModelMonitoringInput parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringInput parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ModelMonitoringInput parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringInput parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ModelMonitoringInput parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringInput parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ModelMonitoringInput parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringInput parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ModelMonitoringInput parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringInput parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringInput
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ModelMonitoringInput> parser()
Returns
Type Description
Parser<ModelMonitoringInput>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

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.

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.

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

getParserForType()

public Parser<ModelMonitoringInput> getParserForType()
Returns
Type Description
Parser<ModelMonitoringInput>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

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.

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.

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.

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.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ModelMonitoringInput.Builder newBuilderForType()
Returns
Type Description
ModelMonitoringInput.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitoringInput.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ModelMonitoringInput.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public ModelMonitoringInput.Builder toBuilder()
Returns
Type Description
ModelMonitoringInput.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException