ModelDeploymentMonitoringJob.Builder (proto-google-cloud-aiplatform-v1 3.63.0 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderT>
  - - com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>
    - - com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.Builder

All Implemented Interfaces:: ModelDeploymentMonitoringJobOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:: ModelDeploymentMonitoringJob

public static final class ModelDeploymentMonitoringJob.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>
implements ModelDeploymentMonitoringJobOrBuilder

 Represents a job that runs periodically to monitor the deployed models in an
 endpoint. It will analyze the logged training & prediction data to detect any
 abnormal behaviors.

Protobuf type google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob

Method Summary

All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`ModelDeploymentMonitoringJob.Builder`	`addAllBigqueryTables(Iterable<? extends ModelDeploymentMonitoringBigQueryTable> values)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`addAllModelDeploymentMonitoringObjectiveConfigs(Iterable<? extends ModelDeploymentMonitoringObjectiveConfig> values)` Required.
`ModelDeploymentMonitoringJob.Builder`	`addBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`addBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`addBigqueryTables(ModelDeploymentMonitoringBigQueryTable.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`addBigqueryTables(ModelDeploymentMonitoringBigQueryTable value)` Output only.
`ModelDeploymentMonitoringBigQueryTable.Builder`	`addBigqueryTablesBuilder()` Output only.
`ModelDeploymentMonitoringBigQueryTable.Builder`	`addBigqueryTablesBuilder(int index)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`addModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue)` Required.
`ModelDeploymentMonitoringJob.Builder`	`addModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`addModelDeploymentMonitoringObjectiveConfigs(ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue)` Required.
`ModelDeploymentMonitoringJob.Builder`	`addModelDeploymentMonitoringObjectiveConfigs(ModelDeploymentMonitoringObjectiveConfig value)` Required.
`ModelDeploymentMonitoringObjectiveConfig.Builder`	`addModelDeploymentMonitoringObjectiveConfigsBuilder()` Required.
`ModelDeploymentMonitoringObjectiveConfig.Builder`	`addModelDeploymentMonitoringObjectiveConfigsBuilder(int index)` Required.
`ModelDeploymentMonitoringJob.Builder`	`addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)`
`ModelDeploymentMonitoringJob`	`build()`
`ModelDeploymentMonitoringJob`	`buildPartial()`
`ModelDeploymentMonitoringJob.Builder`	`clear()`
`ModelDeploymentMonitoringJob.Builder`	`clearAnalysisInstanceSchemaUri()` YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
`ModelDeploymentMonitoringJob.Builder`	`clearBigqueryTables()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearCreateTime()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearDisplayName()` Required.
`ModelDeploymentMonitoringJob.Builder`	`clearEnableMonitoringPipelineLogs()` If true, the scheduled monitoring pipeline logs are sent to Google Cloud Logging, including pipeline status and anomalies detected.
`ModelDeploymentMonitoringJob.Builder`	`clearEncryptionSpec()` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`clearEndpoint()` Required.
`ModelDeploymentMonitoringJob.Builder`	`clearError()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearField(com.google.protobuf.Descriptors.FieldDescriptor field)`
`ModelDeploymentMonitoringJob.Builder`	`clearLabels()`
`ModelDeploymentMonitoringJob.Builder`	`clearLatestMonitoringPipelineMetadata()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearLoggingSamplingStrategy()` Required.
`ModelDeploymentMonitoringJob.Builder`	`clearLogTtl()` The TTL of BigQuery tables in user projects which stores logs.
`ModelDeploymentMonitoringJob.Builder`	`clearModelDeploymentMonitoringObjectiveConfigs()` Required.
`ModelDeploymentMonitoringJob.Builder`	`clearModelDeploymentMonitoringScheduleConfig()` Required.
`ModelDeploymentMonitoringJob.Builder`	`clearModelMonitoringAlertConfig()` Alert config for model monitoring.
`ModelDeploymentMonitoringJob.Builder`	`clearName()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearNextScheduleTime()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)`
`ModelDeploymentMonitoringJob.Builder`	`clearPredictInstanceSchemaUri()` YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).
`ModelDeploymentMonitoringJob.Builder`	`clearSamplePredictInstance()` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`ModelDeploymentMonitoringJob.Builder`	`clearSatisfiesPzi()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearSatisfiesPzs()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearScheduleState()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearState()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clearStatsAnomaliesBaseDirectory()` Stats anomalies base folder path.
`ModelDeploymentMonitoringJob.Builder`	`clearUpdateTime()` Output only.
`ModelDeploymentMonitoringJob.Builder`	`clone()`
`boolean`	`containsLabels(String key)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`String`	`getAnalysisInstanceSchemaUri()` YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
`com.google.protobuf.ByteString`	`getAnalysisInstanceSchemaUriBytes()` YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
`ModelDeploymentMonitoringBigQueryTable`	`getBigqueryTables(int index)` Output only.
`ModelDeploymentMonitoringBigQueryTable.Builder`	`getBigqueryTablesBuilder(int index)` Output only.
`List<ModelDeploymentMonitoringBigQueryTable.Builder>`	`getBigqueryTablesBuilderList()` Output only.
`int`	`getBigqueryTablesCount()` Output only.
`List<ModelDeploymentMonitoringBigQueryTable>`	`getBigqueryTablesList()` Output only.
`ModelDeploymentMonitoringBigQueryTableOrBuilder`	`getBigqueryTablesOrBuilder(int index)` Output only.
`List<? extends ModelDeploymentMonitoringBigQueryTableOrBuilder>`	`getBigqueryTablesOrBuilderList()` Output only.
`com.google.protobuf.Timestamp`	`getCreateTime()` Output only.
`com.google.protobuf.Timestamp.Builder`	`getCreateTimeBuilder()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getCreateTimeOrBuilder()` Output only.
`ModelDeploymentMonitoringJob`	`getDefaultInstanceForType()`
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`com.google.protobuf.Descriptors.Descriptor`	`getDescriptorForType()`
`String`	`getDisplayName()` Required.
`com.google.protobuf.ByteString`	`getDisplayNameBytes()` Required.
`boolean`	`getEnableMonitoringPipelineLogs()` If true, the scheduled monitoring pipeline logs are sent to Google Cloud Logging, including pipeline status and anomalies detected.
`EncryptionSpec`	`getEncryptionSpec()` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`EncryptionSpec.Builder`	`getEncryptionSpecBuilder()` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`EncryptionSpecOrBuilder`	`getEncryptionSpecOrBuilder()` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`String`	`getEndpoint()` Required.
`com.google.protobuf.ByteString`	`getEndpointBytes()` Required.
`com.google.rpc.Status`	`getError()` Output only.
`com.google.rpc.Status.Builder`	`getErrorBuilder()` Output only.
`com.google.rpc.StatusOrBuilder`	`getErrorOrBuilder()` Output only.
`Map<String,String>`	`getLabels()` Deprecated.
`int`	`getLabelsCount()` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`Map<String,String>`	`getLabelsMap()` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`String`	`getLabelsOrDefault(String key, String defaultValue)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`String`	`getLabelsOrThrow(String key)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata`	`getLatestMonitoringPipelineMetadata()` Output only.
`ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder`	`getLatestMonitoringPipelineMetadataBuilder()` Output only.
`ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadataOrBuilder`	`getLatestMonitoringPipelineMetadataOrBuilder()` Output only.
`SamplingStrategy`	`getLoggingSamplingStrategy()` Required.
`SamplingStrategy.Builder`	`getLoggingSamplingStrategyBuilder()` Required.
`SamplingStrategyOrBuilder`	`getLoggingSamplingStrategyOrBuilder()` Required.
`com.google.protobuf.Duration`	`getLogTtl()` The TTL of BigQuery tables in user projects which stores logs.
`com.google.protobuf.Duration.Builder`	`getLogTtlBuilder()` The TTL of BigQuery tables in user projects which stores logs.
`com.google.protobuf.DurationOrBuilder`	`getLogTtlOrBuilder()` The TTL of BigQuery tables in user projects which stores logs.
`ModelDeploymentMonitoringObjectiveConfig`	`getModelDeploymentMonitoringObjectiveConfigs(int index)` Required.
`ModelDeploymentMonitoringObjectiveConfig.Builder`	`getModelDeploymentMonitoringObjectiveConfigsBuilder(int index)` Required.
`List<ModelDeploymentMonitoringObjectiveConfig.Builder>`	`getModelDeploymentMonitoringObjectiveConfigsBuilderList()` Required.
`int`	`getModelDeploymentMonitoringObjectiveConfigsCount()` Required.
`List<ModelDeploymentMonitoringObjectiveConfig>`	`getModelDeploymentMonitoringObjectiveConfigsList()` Required.
`ModelDeploymentMonitoringObjectiveConfigOrBuilder`	`getModelDeploymentMonitoringObjectiveConfigsOrBuilder(int index)` Required.
`List<? extends ModelDeploymentMonitoringObjectiveConfigOrBuilder>`	`getModelDeploymentMonitoringObjectiveConfigsOrBuilderList()` Required.
`ModelDeploymentMonitoringScheduleConfig`	`getModelDeploymentMonitoringScheduleConfig()` Required.
`ModelDeploymentMonitoringScheduleConfig.Builder`	`getModelDeploymentMonitoringScheduleConfigBuilder()` Required.
`ModelDeploymentMonitoringScheduleConfigOrBuilder`	`getModelDeploymentMonitoringScheduleConfigOrBuilder()` Required.
`ModelMonitoringAlertConfig`	`getModelMonitoringAlertConfig()` Alert config for model monitoring.
`ModelMonitoringAlertConfig.Builder`	`getModelMonitoringAlertConfigBuilder()` Alert config for model monitoring.
`ModelMonitoringAlertConfigOrBuilder`	`getModelMonitoringAlertConfigOrBuilder()` Alert config for model monitoring.
`Map<String,String>`	`getMutableLabels()` Deprecated.
`String`	`getName()` Output only.
`com.google.protobuf.ByteString`	`getNameBytes()` Output only.
`com.google.protobuf.Timestamp`	`getNextScheduleTime()` Output only.
`com.google.protobuf.Timestamp.Builder`	`getNextScheduleTimeBuilder()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getNextScheduleTimeOrBuilder()` Output only.
`String`	`getPredictInstanceSchemaUri()` YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).
`com.google.protobuf.ByteString`	`getPredictInstanceSchemaUriBytes()` YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).
`com.google.protobuf.Value`	`getSamplePredictInstance()` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`com.google.protobuf.Value.Builder`	`getSamplePredictInstanceBuilder()` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`com.google.protobuf.ValueOrBuilder`	`getSamplePredictInstanceOrBuilder()` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`boolean`	`getSatisfiesPzi()` Output only.
`boolean`	`getSatisfiesPzs()` Output only.
`ModelDeploymentMonitoringJob.MonitoringScheduleState`	`getScheduleState()` Output only.
`int`	`getScheduleStateValue()` Output only.
`JobState`	`getState()` Output only.
`int`	`getStateValue()` Output only.
`GcsDestination`	`getStatsAnomaliesBaseDirectory()` Stats anomalies base folder path.
`GcsDestination.Builder`	`getStatsAnomaliesBaseDirectoryBuilder()` Stats anomalies base folder path.
`GcsDestinationOrBuilder`	`getStatsAnomaliesBaseDirectoryOrBuilder()` Stats anomalies base folder path.
`com.google.protobuf.Timestamp`	`getUpdateTime()` Output only.
`com.google.protobuf.Timestamp.Builder`	`getUpdateTimeBuilder()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getUpdateTimeOrBuilder()` Output only.
`boolean`	`hasCreateTime()` Output only.
`boolean`	`hasEncryptionSpec()` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`boolean`	`hasError()` Output only.
`boolean`	`hasLatestMonitoringPipelineMetadata()` Output only.
`boolean`	`hasLoggingSamplingStrategy()` Required.
`boolean`	`hasLogTtl()` The TTL of BigQuery tables in user projects which stores logs.
`boolean`	`hasModelDeploymentMonitoringScheduleConfig()` Required.
`boolean`	`hasModelMonitoringAlertConfig()` Alert config for model monitoring.
`boolean`	`hasNextScheduleTime()` Output only.
`boolean`	`hasSamplePredictInstance()` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`boolean`	`hasStatsAnomaliesBaseDirectory()` Stats anomalies base folder path.
`boolean`	`hasUpdateTime()` Output only.
`protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`protected com.google.protobuf.MapFieldReflectionAccessor`	`internalGetMapFieldReflection(int number)`
`protected com.google.protobuf.MapFieldReflectionAccessor`	`internalGetMutableMapFieldReflection(int number)`
`boolean`	`isInitialized()`
`ModelDeploymentMonitoringJob.Builder`	`mergeCreateTime(com.google.protobuf.Timestamp value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`mergeEncryptionSpec(EncryptionSpec value)` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`mergeError(com.google.rpc.Status value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`ModelDeploymentMonitoringJob.Builder`	`mergeFrom(com.google.protobuf.Message other)`
`ModelDeploymentMonitoringJob.Builder`	`mergeFrom(ModelDeploymentMonitoringJob other)`
`ModelDeploymentMonitoringJob.Builder`	`mergeLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`mergeLoggingSamplingStrategy(SamplingStrategy value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`mergeLogTtl(com.google.protobuf.Duration value)` The TTL of BigQuery tables in user projects which stores logs.
`ModelDeploymentMonitoringJob.Builder`	`mergeModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`mergeModelMonitoringAlertConfig(ModelMonitoringAlertConfig value)` Alert config for model monitoring.
`ModelDeploymentMonitoringJob.Builder`	`mergeNextScheduleTime(com.google.protobuf.Timestamp value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`mergeSamplePredictInstance(com.google.protobuf.Value value)` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`ModelDeploymentMonitoringJob.Builder`	`mergeStatsAnomaliesBaseDirectory(GcsDestination value)` Stats anomalies base folder path.
`ModelDeploymentMonitoringJob.Builder`	`mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`
`ModelDeploymentMonitoringJob.Builder`	`mergeUpdateTime(com.google.protobuf.Timestamp value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`putAllLabels(Map<String,String> values)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`putLabels(String key, String value)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`removeBigqueryTables(int index)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`removeLabels(String key)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`removeModelDeploymentMonitoringObjectiveConfigs(int index)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setAnalysisInstanceSchemaUri(String value)` YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
`ModelDeploymentMonitoringJob.Builder`	`setAnalysisInstanceSchemaUriBytes(com.google.protobuf.ByteString value)` YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
`ModelDeploymentMonitoringJob.Builder`	`setBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setCreateTime(com.google.protobuf.Timestamp value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setDisplayName(String value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setDisplayNameBytes(com.google.protobuf.ByteString value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setEnableMonitoringPipelineLogs(boolean value)` If true, the scheduled monitoring pipeline logs are sent to Google Cloud Logging, including pipeline status and anomalies detected.
`ModelDeploymentMonitoringJob.Builder`	`setEncryptionSpec(EncryptionSpec.Builder builderForValue)` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`setEncryptionSpec(EncryptionSpec value)` Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.
`ModelDeploymentMonitoringJob.Builder`	`setEndpoint(String value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setEndpointBytes(com.google.protobuf.ByteString value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setError(com.google.rpc.Status.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setError(com.google.rpc.Status value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)`
`ModelDeploymentMonitoringJob.Builder`	`setLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setLoggingSamplingStrategy(SamplingStrategy value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setLogTtl(com.google.protobuf.Duration.Builder builderForValue)` The TTL of BigQuery tables in user projects which stores logs.
`ModelDeploymentMonitoringJob.Builder`	`setLogTtl(com.google.protobuf.Duration value)` The TTL of BigQuery tables in user projects which stores logs.
`ModelDeploymentMonitoringJob.Builder`	`setModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig.Builder builderForValue)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig value)` Required.
`ModelDeploymentMonitoringJob.Builder`	`setModelMonitoringAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)` Alert config for model monitoring.
`ModelDeploymentMonitoringJob.Builder`	`setModelMonitoringAlertConfig(ModelMonitoringAlertConfig value)` Alert config for model monitoring.
`ModelDeploymentMonitoringJob.Builder`	`setName(String value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setNameBytes(com.google.protobuf.ByteString value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setNextScheduleTime(com.google.protobuf.Timestamp.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setNextScheduleTime(com.google.protobuf.Timestamp value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setPredictInstanceSchemaUri(String value)` YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).
`ModelDeploymentMonitoringJob.Builder`	`setPredictInstanceSchemaUriBytes(com.google.protobuf.ByteString value)` YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).
`ModelDeploymentMonitoringJob.Builder`	`setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)`
`ModelDeploymentMonitoringJob.Builder`	`setSamplePredictInstance(com.google.protobuf.Value.Builder builderForValue)` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`ModelDeploymentMonitoringJob.Builder`	`setSamplePredictInstance(com.google.protobuf.Value value)` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`ModelDeploymentMonitoringJob.Builder`	`setSatisfiesPzi(boolean value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setSatisfiesPzs(boolean value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setScheduleState(ModelDeploymentMonitoringJob.MonitoringScheduleState value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setScheduleStateValue(int value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setState(JobState value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setStateValue(int value)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue)` Stats anomalies base folder path.
`ModelDeploymentMonitoringJob.Builder`	`setStatsAnomaliesBaseDirectory(GcsDestination value)` Stats anomalies base folder path.
`ModelDeploymentMonitoringJob.Builder`	`setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`
`ModelDeploymentMonitoringJob.Builder`	`setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)` Output only.
`ModelDeploymentMonitoringJob.Builder`	`setUpdateTime(com.google.protobuf.Timestamp value)` Output only.

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetMapFieldReflection
```
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
```
Overrides:

internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

internalGetMutableMapFieldReflection
```
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
```
Overrides:

internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

internalGetFieldAccessorTable
```
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
```
Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

clear
```
public ModelDeploymentMonitoringJob.Builder clear()
```
Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

getDescriptorForType
```
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
```
Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

getDefaultInstanceForType
```
public ModelDeploymentMonitoringJob getDefaultInstanceForType()
```
Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build
```
public ModelDeploymentMonitoringJob build()
```
Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial
```
public ModelDeploymentMonitoringJob buildPartial()
```
Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone
```
public ModelDeploymentMonitoringJob.Builder clone()
```
Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

setField

public ModelDeploymentMonitoringJob.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                     Object value)

Specified by:: setField in interface com.google.protobuf.Message.Builder
Overrides:: setField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

clearField
```
public ModelDeploymentMonitoringJob.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
```
Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

clearOneof
```
public ModelDeploymentMonitoringJob.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
```
Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

setRepeatedField

public ModelDeploymentMonitoringJob.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                             int index,
                                                             Object value)

Specified by:: setRepeatedField in interface com.google.protobuf.Message.Builder
Overrides:: setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

addRepeatedField

public ModelDeploymentMonitoringJob.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                             Object value)

Specified by:: addRepeatedField in interface com.google.protobuf.Message.Builder
Overrides:: addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

mergeFrom
```
public ModelDeploymentMonitoringJob.Builder mergeFrom(com.google.protobuf.Message other)
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelDeploymentMonitoringJob.Builder>

mergeFrom

public ModelDeploymentMonitoringJob.Builder mergeFrom(ModelDeploymentMonitoringJob other)

isInitialized
```
public final boolean isInitialized()
```
Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelDeploymentMonitoringJob.Builder>

mergeFrom

public ModelDeploymentMonitoringJob.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                                      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                               throws IOException

Specified by:: mergeFrom in interface com.google.protobuf.Message.Builder
Specified by:: mergeFrom in interface com.google.protobuf.MessageLite.Builder
Overrides:: mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelDeploymentMonitoringJob.Builder>
Throws:: IOException

getName
```
public String getName()
```
```
 Output only. Resource name of a ModelDeploymentMonitoringJob.
 
```
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getName in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The name.

getNameBytes
```
public com.google.protobuf.ByteString getNameBytes()
```
```
 Output only. Resource name of a ModelDeploymentMonitoringJob.
 
```
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getNameBytes in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The bytes for name.

setName

public ModelDeploymentMonitoringJob.Builder setName(String value)

 Output only. Resource name of a ModelDeploymentMonitoringJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:: value - The name to set.
Returns:: This builder for chaining.

clearName

public ModelDeploymentMonitoringJob.Builder clearName()

 Output only. Resource name of a ModelDeploymentMonitoringJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:: This builder for chaining.

setNameBytes

public ModelDeploymentMonitoringJob.Builder setNameBytes(com.google.protobuf.ByteString value)

 Output only. Resource name of a ModelDeploymentMonitoringJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:: value - The bytes for name to set.
Returns:: This builder for chaining.

getDisplayName

public String getDisplayName()

 Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Specified by:: getDisplayName in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The displayName.

getDisplayNameBytes

public com.google.protobuf.ByteString getDisplayNameBytes()

 Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Specified by:: getDisplayNameBytes in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The bytes for displayName.

setDisplayName

public ModelDeploymentMonitoringJob.Builder setDisplayName(String value)

 Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters:: value - The displayName to set.
Returns:: This builder for chaining.

clearDisplayName

public ModelDeploymentMonitoringJob.Builder clearDisplayName()

 Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns:: This builder for chaining.

setDisplayNameBytes

public ModelDeploymentMonitoringJob.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)

 Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters:: value - The bytes for displayName to set.
Returns:: This builder for chaining.

getEndpoint
```
public String getEndpoint()
```
```
 Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
 
```
string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Specified by:

getEndpoint in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The endpoint.

getEndpointBytes
```
public com.google.protobuf.ByteString getEndpointBytes()
```
```
 Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
 
```
string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Specified by:

getEndpointBytes in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The bytes for endpoint.

setEndpoint

public ModelDeploymentMonitoringJob.Builder setEndpoint(String value)

 Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`


 string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameters:: value - The endpoint to set.
Returns:: This builder for chaining.

clearEndpoint

public ModelDeploymentMonitoringJob.Builder clearEndpoint()

 Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`


 string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns:: This builder for chaining.

setEndpointBytes

public ModelDeploymentMonitoringJob.Builder setEndpointBytes(com.google.protobuf.ByteString value)

 Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`


 string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameters:: value - The bytes for endpoint to set.
Returns:: This builder for chaining.

getStateValue

public int getStateValue()

 Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.


 .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getStateValue in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The enum numeric value on the wire for state.

setStateValue

public ModelDeploymentMonitoringJob.Builder setStateValue(int value)

 Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.


 .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:: value - The enum numeric value on the wire for state to set.
Returns:: This builder for chaining.

getState

public JobState getState()

 Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.


 .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getState in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The state.

setState

public ModelDeploymentMonitoringJob.Builder setState(JobState value)

 Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.


 .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:: value - The state to set.
Returns:: This builder for chaining.

clearState

public ModelDeploymentMonitoringJob.Builder clearState()

 Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.


 .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:: This builder for chaining.

getScheduleStateValue
```
public int getScheduleStateValue()
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getScheduleStateValue in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The enum numeric value on the wire for scheduleState.

setScheduleStateValue
```
public ModelDeploymentMonitoringJob.Builder setScheduleStateValue(int value)
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters:

value - The enum numeric value on the wire for scheduleState to set.

Returns:

This builder for chaining.

getScheduleState
```
public ModelDeploymentMonitoringJob.MonitoringScheduleState getScheduleState()
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getScheduleState in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The scheduleState.

setScheduleState
```
public ModelDeploymentMonitoringJob.Builder setScheduleState(ModelDeploymentMonitoringJob.MonitoringScheduleState value)
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters:

value - The scheduleState to set.

Returns:

This builder for chaining.

clearScheduleState
```
public ModelDeploymentMonitoringJob.Builder clearScheduleState()
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns:

This builder for chaining.

hasLatestMonitoringPipelineMetadata
```
public boolean hasLatestMonitoringPipelineMetadata()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasLatestMonitoringPipelineMetadata in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the latestMonitoringPipelineMetadata field is set.

getLatestMonitoringPipelineMetadata
```
public ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata getLatestMonitoringPipelineMetadata()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getLatestMonitoringPipelineMetadata in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The latestMonitoringPipelineMetadata.

setLatestMonitoringPipelineMetadata

public ModelDeploymentMonitoringJob.Builder setLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata value)

 Output only. Latest triggered monitoring pipeline metadata.


 .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

setLatestMonitoringPipelineMetadata

public ModelDeploymentMonitoringJob.Builder setLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder builderForValue)

 Output only. Latest triggered monitoring pipeline metadata.


 .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeLatestMonitoringPipelineMetadata

public ModelDeploymentMonitoringJob.Builder mergeLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata value)

 Output only. Latest triggered monitoring pipeline metadata.


 .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearLatestMonitoringPipelineMetadata
```
public ModelDeploymentMonitoringJob.Builder clearLatestMonitoringPipelineMetadata()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

getLatestMonitoringPipelineMetadataBuilder
```
public ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder getLatestMonitoringPipelineMetadataBuilder()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];

getLatestMonitoringPipelineMetadataOrBuilder
```
public ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadataOrBuilder getLatestMonitoringPipelineMetadataOrBuilder()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getLatestMonitoringPipelineMetadataOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

getModelDeploymentMonitoringObjectiveConfigsList
```
public List<ModelDeploymentMonitoringObjectiveConfig> getModelDeploymentMonitoringObjectiveConfigsList()
```
```
 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.
 
```
repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsList in interface ModelDeploymentMonitoringJobOrBuilder

getModelDeploymentMonitoringObjectiveConfigsCount
```
public int getModelDeploymentMonitoringObjectiveConfigsCount()
```
```
 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.
 
```
repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsCount in interface ModelDeploymentMonitoringJobOrBuilder

getModelDeploymentMonitoringObjectiveConfigs
```
public ModelDeploymentMonitoringObjectiveConfig getModelDeploymentMonitoringObjectiveConfigs(int index)
```
```
 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.
 
```
repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigs in interface ModelDeploymentMonitoringJobOrBuilder

setModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder setModelDeploymentMonitoringObjectiveConfigs(int index,
                                                                                         ModelDeploymentMonitoringObjectiveConfig value)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

setModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder setModelDeploymentMonitoringObjectiveConfigs(int index,
                                                                                         ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

addModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder addModelDeploymentMonitoringObjectiveConfigs(ModelDeploymentMonitoringObjectiveConfig value)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

addModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder addModelDeploymentMonitoringObjectiveConfigs(int index,
                                                                                         ModelDeploymentMonitoringObjectiveConfig value)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

addModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder addModelDeploymentMonitoringObjectiveConfigs(ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

addModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder addModelDeploymentMonitoringObjectiveConfigs(int index,
                                                                                         ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

addAllModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder addAllModelDeploymentMonitoringObjectiveConfigs(Iterable<? extends ModelDeploymentMonitoringObjectiveConfig> values)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

clearModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder clearModelDeploymentMonitoringObjectiveConfigs()

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

removeModelDeploymentMonitoringObjectiveConfigs

public ModelDeploymentMonitoringJob.Builder removeModelDeploymentMonitoringObjectiveConfigs(int index)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

getModelDeploymentMonitoringObjectiveConfigsBuilder

public ModelDeploymentMonitoringObjectiveConfig.Builder getModelDeploymentMonitoringObjectiveConfigsBuilder(int index)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

getModelDeploymentMonitoringObjectiveConfigsOrBuilder
```
public ModelDeploymentMonitoringObjectiveConfigOrBuilder getModelDeploymentMonitoringObjectiveConfigsOrBuilder(int index)
```
```
 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.
 
```
repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

getModelDeploymentMonitoringObjectiveConfigsOrBuilderList
```
public List<? extends ModelDeploymentMonitoringObjectiveConfigOrBuilder> getModelDeploymentMonitoringObjectiveConfigsOrBuilderList()
```
```
 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.
 
```
repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsOrBuilderList in interface ModelDeploymentMonitoringJobOrBuilder

addModelDeploymentMonitoringObjectiveConfigsBuilder

public ModelDeploymentMonitoringObjectiveConfig.Builder addModelDeploymentMonitoringObjectiveConfigsBuilder()

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

addModelDeploymentMonitoringObjectiveConfigsBuilder

public ModelDeploymentMonitoringObjectiveConfig.Builder addModelDeploymentMonitoringObjectiveConfigsBuilder(int index)

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

getModelDeploymentMonitoringObjectiveConfigsBuilderList

public List<ModelDeploymentMonitoringObjectiveConfig.Builder> getModelDeploymentMonitoringObjectiveConfigsBuilderList()

 Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];

hasModelDeploymentMonitoringScheduleConfig
```
public boolean hasModelDeploymentMonitoringScheduleConfig()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];
Specified by:

hasModelDeploymentMonitoringScheduleConfig in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the modelDeploymentMonitoringScheduleConfig field is set.

getModelDeploymentMonitoringScheduleConfig
```
public ModelDeploymentMonitoringScheduleConfig getModelDeploymentMonitoringScheduleConfig()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringScheduleConfig in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The modelDeploymentMonitoringScheduleConfig.

setModelDeploymentMonitoringScheduleConfig

public ModelDeploymentMonitoringJob.Builder setModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig value)

 Required. Schedule config for running the monitoring job.


 .google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];

setModelDeploymentMonitoringScheduleConfig

public ModelDeploymentMonitoringJob.Builder setModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig.Builder builderForValue)

 Required. Schedule config for running the monitoring job.


 .google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];

mergeModelDeploymentMonitoringScheduleConfig

public ModelDeploymentMonitoringJob.Builder mergeModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig value)

 Required. Schedule config for running the monitoring job.


 .google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];

clearModelDeploymentMonitoringScheduleConfig
```
public ModelDeploymentMonitoringJob.Builder clearModelDeploymentMonitoringScheduleConfig()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];

getModelDeploymentMonitoringScheduleConfigBuilder
```
public ModelDeploymentMonitoringScheduleConfig.Builder getModelDeploymentMonitoringScheduleConfigBuilder()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];

getModelDeploymentMonitoringScheduleConfigOrBuilder
```
public ModelDeploymentMonitoringScheduleConfigOrBuilder getModelDeploymentMonitoringScheduleConfigOrBuilder()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringScheduleConfigOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

hasLoggingSamplingStrategy
```
public boolean hasLoggingSamplingStrategy()
```
```
 Required. Sample Strategy for logging.
 
```
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];
Specified by:

hasLoggingSamplingStrategy in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the loggingSamplingStrategy field is set.

getLoggingSamplingStrategy
```
public SamplingStrategy getLoggingSamplingStrategy()
```
```
 Required. Sample Strategy for logging.
 
```
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getLoggingSamplingStrategy in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The loggingSamplingStrategy.

setLoggingSamplingStrategy

public ModelDeploymentMonitoringJob.Builder setLoggingSamplingStrategy(SamplingStrategy value)

 Required. Sample Strategy for logging.


 .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];

setLoggingSamplingStrategy

public ModelDeploymentMonitoringJob.Builder setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue)

 Required. Sample Strategy for logging.


 .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];

mergeLoggingSamplingStrategy

public ModelDeploymentMonitoringJob.Builder mergeLoggingSamplingStrategy(SamplingStrategy value)

 Required. Sample Strategy for logging.


 .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];

clearLoggingSamplingStrategy
```
public ModelDeploymentMonitoringJob.Builder clearLoggingSamplingStrategy()
```
```
 Required. Sample Strategy for logging.
 
```
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];

getLoggingSamplingStrategyBuilder
```
public SamplingStrategy.Builder getLoggingSamplingStrategyBuilder()
```
```
 Required. Sample Strategy for logging.
 
```
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];

getLoggingSamplingStrategyOrBuilder
```
public SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()
```
```
 Required. Sample Strategy for logging.
 
```
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getLoggingSamplingStrategyOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

hasModelMonitoringAlertConfig
```
public boolean hasModelMonitoringAlertConfig()
```
```
 Alert config for model monitoring.
 
```
.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
Specified by:

hasModelMonitoringAlertConfig in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the modelMonitoringAlertConfig field is set.

getModelMonitoringAlertConfig
```
public ModelMonitoringAlertConfig getModelMonitoringAlertConfig()
```
```
 Alert config for model monitoring.
 
```
.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
Specified by:

getModelMonitoringAlertConfig in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The modelMonitoringAlertConfig.

setModelMonitoringAlertConfig

public ModelDeploymentMonitoringJob.Builder setModelMonitoringAlertConfig(ModelMonitoringAlertConfig value)

 Alert config for model monitoring.


 .google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;

setModelMonitoringAlertConfig

public ModelDeploymentMonitoringJob.Builder setModelMonitoringAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)

 Alert config for model monitoring.


 .google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;

mergeModelMonitoringAlertConfig

public ModelDeploymentMonitoringJob.Builder mergeModelMonitoringAlertConfig(ModelMonitoringAlertConfig value)

 Alert config for model monitoring.


 .google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;

clearModelMonitoringAlertConfig

public ModelDeploymentMonitoringJob.Builder clearModelMonitoringAlertConfig()

 Alert config for model monitoring.


 .google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;

getModelMonitoringAlertConfigBuilder

public ModelMonitoringAlertConfig.Builder getModelMonitoringAlertConfigBuilder()

 Alert config for model monitoring.


 .google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;

getModelMonitoringAlertConfigOrBuilder
```
public ModelMonitoringAlertConfigOrBuilder getModelMonitoringAlertConfigOrBuilder()
```
```
 Alert config for model monitoring.
 
```
.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
Specified by:

getModelMonitoringAlertConfigOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

getPredictInstanceSchemaUri

public String getPredictInstanceSchemaUri()

 YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.

string predict_instance_schema_uri = 9;

Specified by:: getPredictInstanceSchemaUri in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The predictInstanceSchemaUri.

getPredictInstanceSchemaUriBytes

public com.google.protobuf.ByteString getPredictInstanceSchemaUriBytes()

 YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.

string predict_instance_schema_uri = 9;

Specified by:: getPredictInstanceSchemaUriBytes in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The bytes for predictInstanceSchemaUri.

setPredictInstanceSchemaUri

public ModelDeploymentMonitoringJob.Builder setPredictInstanceSchemaUri(String value)

 YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.

string predict_instance_schema_uri = 9;

Parameters:: value - The predictInstanceSchemaUri to set.
Returns:: This builder for chaining.

clearPredictInstanceSchemaUri

public ModelDeploymentMonitoringJob.Builder clearPredictInstanceSchemaUri()

 YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.

string predict_instance_schema_uri = 9;

Returns:: This builder for chaining.

setPredictInstanceSchemaUriBytes

public ModelDeploymentMonitoringJob.Builder setPredictInstanceSchemaUriBytes(com.google.protobuf.ByteString value)

 YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.

string predict_instance_schema_uri = 9;

Parameters:: value - The bytes for predictInstanceSchemaUri to set.
Returns:: This builder for chaining.

hasSamplePredictInstance

public boolean hasSamplePredictInstance()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

Specified by:: hasSamplePredictInstance in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: Whether the samplePredictInstance field is set.

getSamplePredictInstance

public com.google.protobuf.Value getSamplePredictInstance()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

Specified by:: getSamplePredictInstance in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The samplePredictInstance.

setSamplePredictInstance

public ModelDeploymentMonitoringJob.Builder setSamplePredictInstance(com.google.protobuf.Value value)

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

setSamplePredictInstance

public ModelDeploymentMonitoringJob.Builder setSamplePredictInstance(com.google.protobuf.Value.Builder builderForValue)

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

mergeSamplePredictInstance

public ModelDeploymentMonitoringJob.Builder mergeSamplePredictInstance(com.google.protobuf.Value value)

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

clearSamplePredictInstance

public ModelDeploymentMonitoringJob.Builder clearSamplePredictInstance()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

getSamplePredictInstanceBuilder

public com.google.protobuf.Value.Builder getSamplePredictInstanceBuilder()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

getSamplePredictInstanceOrBuilder

public com.google.protobuf.ValueOrBuilder getSamplePredictInstanceOrBuilder()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.

.google.protobuf.Value sample_predict_instance = 19;

Specified by:: getSamplePredictInstanceOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

getAnalysisInstanceSchemaUri

public String getAnalysisInstanceSchemaUri()

 YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.

string analysis_instance_schema_uri = 16;

Specified by:: getAnalysisInstanceSchemaUri in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The analysisInstanceSchemaUri.

getAnalysisInstanceSchemaUriBytes

public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes()

 YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.

string analysis_instance_schema_uri = 16;

Specified by:: getAnalysisInstanceSchemaUriBytes in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The bytes for analysisInstanceSchemaUri.

setAnalysisInstanceSchemaUri

public ModelDeploymentMonitoringJob.Builder setAnalysisInstanceSchemaUri(String value)

 YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.

string analysis_instance_schema_uri = 16;

Parameters:: value - The analysisInstanceSchemaUri to set.
Returns:: This builder for chaining.

clearAnalysisInstanceSchemaUri

public ModelDeploymentMonitoringJob.Builder clearAnalysisInstanceSchemaUri()

 YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.

string analysis_instance_schema_uri = 16;

Returns:: This builder for chaining.

setAnalysisInstanceSchemaUriBytes

public ModelDeploymentMonitoringJob.Builder setAnalysisInstanceSchemaUriBytes(com.google.protobuf.ByteString value)

 YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.

string analysis_instance_schema_uri = 16;

Parameters:: value - The bytes for analysisInstanceSchemaUri to set.
Returns:: This builder for chaining.

getBigqueryTablesList

public List<ModelDeploymentMonitoringBigQueryTable> getBigqueryTablesList()

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesList in interface ModelDeploymentMonitoringJobOrBuilder

getBigqueryTablesCount

public int getBigqueryTablesCount()

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesCount in interface ModelDeploymentMonitoringJobOrBuilder

getBigqueryTables

public ModelDeploymentMonitoringBigQueryTable getBigqueryTables(int index)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTables in interface ModelDeploymentMonitoringJobOrBuilder

setBigqueryTables

public ModelDeploymentMonitoringJob.Builder setBigqueryTables(int index,
                                                              ModelDeploymentMonitoringBigQueryTable value)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

setBigqueryTables

public ModelDeploymentMonitoringJob.Builder setBigqueryTables(int index,
                                                              ModelDeploymentMonitoringBigQueryTable.Builder builderForValue)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

addBigqueryTables

public ModelDeploymentMonitoringJob.Builder addBigqueryTables(ModelDeploymentMonitoringBigQueryTable value)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

addBigqueryTables

public ModelDeploymentMonitoringJob.Builder addBigqueryTables(int index,
                                                              ModelDeploymentMonitoringBigQueryTable value)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

addBigqueryTables

public ModelDeploymentMonitoringJob.Builder addBigqueryTables(ModelDeploymentMonitoringBigQueryTable.Builder builderForValue)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

addBigqueryTables

public ModelDeploymentMonitoringJob.Builder addBigqueryTables(int index,
                                                              ModelDeploymentMonitoringBigQueryTable.Builder builderForValue)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

addAllBigqueryTables

public ModelDeploymentMonitoringJob.Builder addAllBigqueryTables(Iterable<? extends ModelDeploymentMonitoringBigQueryTable> values)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearBigqueryTables

public ModelDeploymentMonitoringJob.Builder clearBigqueryTables()

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

removeBigqueryTables

public ModelDeploymentMonitoringJob.Builder removeBigqueryTables(int index)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

getBigqueryTablesBuilder

public ModelDeploymentMonitoringBigQueryTable.Builder getBigqueryTablesBuilder(int index)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

getBigqueryTablesOrBuilder

public ModelDeploymentMonitoringBigQueryTableOrBuilder getBigqueryTablesOrBuilder(int index)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

getBigqueryTablesOrBuilderList

public List<? extends ModelDeploymentMonitoringBigQueryTableOrBuilder> getBigqueryTablesOrBuilderList()

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesOrBuilderList in interface ModelDeploymentMonitoringJobOrBuilder

addBigqueryTablesBuilder

public ModelDeploymentMonitoringBigQueryTable.Builder addBigqueryTablesBuilder()

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

addBigqueryTablesBuilder

public ModelDeploymentMonitoringBigQueryTable.Builder addBigqueryTablesBuilder(int index)

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

getBigqueryTablesBuilderList

public List<ModelDeploymentMonitoringBigQueryTable.Builder> getBigqueryTablesBuilderList()

 Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response


 repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

hasLogTtl

public boolean hasLogTtl()

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

Specified by:: hasLogTtl in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: Whether the logTtl field is set.

getLogTtl

public com.google.protobuf.Duration getLogTtl()

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

Specified by:: getLogTtl in interface ModelDeploymentMonitoringJobOrBuilder
Returns:: The logTtl.

setLogTtl

public ModelDeploymentMonitoringJob.Builder setLogTtl(com.google.protobuf.Duration value)

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

setLogTtl

public ModelDeploymentMonitoringJob.Builder setLogTtl(com.google.protobuf.Duration.Builder builderForValue)

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

mergeLogTtl

public ModelDeploymentMonitoringJob.Builder mergeLogTtl(com.google.protobuf.Duration value)

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

clearLogTtl

public ModelDeploymentMonitoringJob.Builder clearLogTtl()

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

getLogTtlBuilder

public com.google.protobuf.Duration.Builder getLogTtlBuilder()

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

getLogTtlOrBuilder

public com.google.protobuf.DurationOrBuilder getLogTtlOrBuilder()

 The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.

.google.protobuf.Duration log_ttl = 17;

Specified by:: getLogTtlOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

getLabelsCount

public int getLabelsCount()

Description copied from interface: ModelDeploymentMonitoringJobOrBuilder

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

Specified by:: getLabelsCount in interface ModelDeploymentMonitoringJobOrBuilder

containsLabels

public boolean containsLabels(String key)

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

Specified by:: containsLabels in interface ModelDeploymentMonitoringJobOrBuilder

getLabels
```
@Deprecated
public Map<String,String> getLabels()
```
Deprecated.

Use getLabelsMap() instead.

Specified by:

getLabels in interface ModelDeploymentMonitoringJobOrBuilder

getLabelsMap

public Map<String,String> getLabelsMap()

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

Specified by:: getLabelsMap in interface ModelDeploymentMonitoringJobOrBuilder

getLabelsOrDefault

public String getLabelsOrDefault(String key,
                                 String defaultValue)

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

Specified by:: getLabelsOrDefault in interface ModelDeploymentMonitoringJobOrBuilder

getLabelsOrThrow

public String getLabelsOrThrow(String key)

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

Specified by:: getLabelsOrThrow in interface ModelDeploymentMonitoringJobOrBuilder

clearLabels

public ModelDeploymentMonitoringJob.Builder clearLabels()

removeLabels

public ModelDeploymentMonitoringJob.Builder removeLabels(String key)

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

getMutableLabels
```
@Deprecated
public Map<String,String> getMutableLabels()
```
Deprecated.

Use alternate mutation accessors instead.

putLabels

public ModelDeploymentMonitoringJob.Builder putLabels(String key,
                                                      String value)

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

putAllLabels

public ModelDeploymentMonitoringJob.Builder putAllLabels(Map<String,String> values)

 The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.

map<string, string> labels = 11;

hasCreateTime
```
public boolean hasCreateTime()
```
```
 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
 
```
.google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasCreateTime in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the createTime field is set.

getCreateTime
```
public com.google.protobuf.Timestamp getCreateTime()
```
```
 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
 
```
.google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getCreateTime in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The createTime.

setCreateTime

public ModelDeploymentMonitoringJob.Builder setCreateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.


 .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

setCreateTime

public ModelDeploymentMonitoringJob.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.


 .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeCreateTime

public ModelDeploymentMonitoringJob.Builder mergeCreateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.


 .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearCreateTime

public ModelDeploymentMonitoringJob.Builder clearCreateTime()

 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.


 .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

getCreateTimeBuilder

public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()

 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.


 .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

getCreateTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
```
```
 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
 
```
.google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getCreateTimeOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

hasUpdateTime
```
public boolean hasUpdateTime()
```
```
 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.
 
```
.google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasUpdateTime in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the updateTime field is set.

getUpdateTime
```
public com.google.protobuf.Timestamp getUpdateTime()
```
```
 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.
 
```
.google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getUpdateTime in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The updateTime.

setUpdateTime

public ModelDeploymentMonitoringJob.Builder setUpdateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.


 .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

setUpdateTime

public ModelDeploymentMonitoringJob.Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.


 .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeUpdateTime

public ModelDeploymentMonitoringJob.Builder mergeUpdateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.


 .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearUpdateTime

public ModelDeploymentMonitoringJob.Builder clearUpdateTime()

 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.


 .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

getUpdateTimeBuilder

public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder()

 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.


 .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

getUpdateTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
```
```
 Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.
 
```
.google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getUpdateTimeOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

hasNextScheduleTime
```
public boolean hasNextScheduleTime()
```
```
 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.
 
```
.google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasNextScheduleTime in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the nextScheduleTime field is set.

getNextScheduleTime
```
public com.google.protobuf.Timestamp getNextScheduleTime()
```
```
 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.
 
```
.google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getNextScheduleTime in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The nextScheduleTime.

setNextScheduleTime

public ModelDeploymentMonitoringJob.Builder setNextScheduleTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.


 .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

setNextScheduleTime

public ModelDeploymentMonitoringJob.Builder setNextScheduleTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.


 .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeNextScheduleTime

public ModelDeploymentMonitoringJob.Builder mergeNextScheduleTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.


 .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearNextScheduleTime

public ModelDeploymentMonitoringJob.Builder clearNextScheduleTime()

 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.


 .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

getNextScheduleTimeBuilder

public com.google.protobuf.Timestamp.Builder getNextScheduleTimeBuilder()

 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.


 .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

getNextScheduleTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getNextScheduleTimeOrBuilder()
```
```
 Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.
 
```
.google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getNextScheduleTimeOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

hasStatsAnomaliesBaseDirectory
```
public boolean hasStatsAnomaliesBaseDirectory()
```
```
 Stats anomalies base folder path.
 
```
.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;
Specified by:

hasStatsAnomaliesBaseDirectory in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

Whether the statsAnomaliesBaseDirectory field is set.

getStatsAnomaliesBaseDirectory
```
public GcsDestination getStatsAnomaliesBaseDirectory()
```
```
 Stats anomalies base folder path.
 
```
.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;
Specified by:

getStatsAnomaliesBaseDirectory in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The statsAnomaliesBaseDirectory.

setStatsAnomaliesBaseDirectory

public ModelDeploymentMonitoringJob.Builder setStatsAnomaliesBaseDirectory(GcsDestination value)

 Stats anomalies base folder path.

.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;

setStatsAnomaliesBaseDirectory

public ModelDeploymentMonitoringJob.Builder setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue)

 Stats anomalies base folder path.

.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;

mergeStatsAnomaliesBaseDirectory

public ModelDeploymentMonitoringJob.Builder mergeStatsAnomaliesBaseDirectory(GcsDestination value)

 Stats anomalies base folder path.

.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;

clearStatsAnomaliesBaseDirectory

public ModelDeploymentMonitoringJob.Builder clearStatsAnomaliesBaseDirectory()

 Stats anomalies base folder path.

.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;

getStatsAnomaliesBaseDirectoryBuilder
```
public GcsDestination.Builder getStatsAnomaliesBaseDirectoryBuilder()
```
```
 Stats anomalies base folder path.
 
```
.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;

getStatsAnomaliesBaseDirectoryOrBuilder
```
public GcsDestinationOrBuilder getStatsAnomaliesBaseDirectoryOrBuilder()
```
```
 Stats anomalies base folder path.
 
```
.google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;
Specified by:

getStatsAnomaliesBaseDirectoryOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder