ModelDeploymentMonitoringJob (proto-google-cloud-aiplatform-v1beta1 0.56.0 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite
- - com.google.protobuf.AbstractMessage
  - - com.google.protobuf.GeneratedMessageV3
    - - com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob

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

public final class ModelDeploymentMonitoringJob
extends com.google.protobuf.GeneratedMessageV3
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.v1beta1.ModelDeploymentMonitoringJob

See Also:: Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`ModelDeploymentMonitoringJob.Builder` Represents a job that runs periodically to monitor the deployed models in an endpoint.
`static class`	`ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata` All metadata of most recent monitoring pipelines.
`static interface`	`ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadataOrBuilder`
`static class`	`ModelDeploymentMonitoringJob.MonitoringScheduleState` The state to Specify the monitoring pipeline.

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER`
`static int`	`BIGQUERY_TABLES_FIELD_NUMBER`
`static int`	`CREATE_TIME_FIELD_NUMBER`
`static int`	`DISPLAY_NAME_FIELD_NUMBER`
`static int`	`ENABLE_MONITORING_PIPELINE_LOGS_FIELD_NUMBER`
`static int`	`ENCRYPTION_SPEC_FIELD_NUMBER`
`static int`	`ENDPOINT_FIELD_NUMBER`
`static int`	`ERROR_FIELD_NUMBER`
`static int`	`LABELS_FIELD_NUMBER`
`static int`	`LATEST_MONITORING_PIPELINE_METADATA_FIELD_NUMBER`
`static int`	`LOG_TTL_FIELD_NUMBER`
`static int`	`LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER`
`static int`	`MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_CONFIGS_FIELD_NUMBER`
`static int`	`MODEL_DEPLOYMENT_MONITORING_SCHEDULE_CONFIG_FIELD_NUMBER`
`static int`	`MODEL_MONITORING_ALERT_CONFIG_FIELD_NUMBER`
`static int`	`NAME_FIELD_NUMBER`
`static int`	`NEXT_SCHEDULE_TIME_FIELD_NUMBER`
`static int`	`PREDICT_INSTANCE_SCHEMA_URI_FIELD_NUMBER`
`static int`	`SAMPLE_PREDICT_INSTANCE_FIELD_NUMBER`
`static int`	`SCHEDULE_STATE_FIELD_NUMBER`
`static int`	`STATE_FIELD_NUMBER`
`static int`	`STATS_ANOMALIES_BASE_DIRECTORY_FIELD_NUMBER`
`static int`	`UPDATE_TIME_FIELD_NUMBER`

Fields inherited from class com.google.protobuf.GeneratedMessageV3
alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage
memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite
memoizedHashCode

Method Summary

All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`boolean`	`containsLabels(String key)` The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.
`boolean`	`equals(Object obj)`
`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.
`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.TimestampOrBuilder`	`getCreateTimeOrBuilder()` Output only.
`static ModelDeploymentMonitoringJob`	`getDefaultInstance()`
`ModelDeploymentMonitoringJob`	`getDefaultInstanceForType()`
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`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.
`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.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.LatestMonitoringPipelineMetadataOrBuilder`	`getLatestMonitoringPipelineMetadataOrBuilder()` Output only.
`SamplingStrategy`	`getLoggingSamplingStrategy()` Required.
`SamplingStrategyOrBuilder`	`getLoggingSamplingStrategyOrBuilder()` Required.
`com.google.protobuf.Duration`	`getLogTtl()` 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.
`int`	`getModelDeploymentMonitoringObjectiveConfigsCount()` Required.
`List<ModelDeploymentMonitoringObjectiveConfig>`	`getModelDeploymentMonitoringObjectiveConfigsList()` Required.
`ModelDeploymentMonitoringObjectiveConfigOrBuilder`	`getModelDeploymentMonitoringObjectiveConfigsOrBuilder(int index)` Required.
`List<? extends ModelDeploymentMonitoringObjectiveConfigOrBuilder>`	`getModelDeploymentMonitoringObjectiveConfigsOrBuilderList()` Required.
`ModelDeploymentMonitoringScheduleConfig`	`getModelDeploymentMonitoringScheduleConfig()` Required.
`ModelDeploymentMonitoringScheduleConfigOrBuilder`	`getModelDeploymentMonitoringScheduleConfigOrBuilder()` Required.
`ModelMonitoringAlertConfig`	`getModelMonitoringAlertConfig()` Alert config for model monitoring.
`ModelMonitoringAlertConfigOrBuilder`	`getModelMonitoringAlertConfigOrBuilder()` Alert config for model monitoring.
`String`	`getName()` Output only.
`com.google.protobuf.ByteString`	`getNameBytes()` Output only.
`com.google.protobuf.Timestamp`	`getNextScheduleTime()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getNextScheduleTimeOrBuilder()` Output only.
`com.google.protobuf.Parser<ModelDeploymentMonitoringJob>`	`getParserForType()`
`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.v1beta1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`com.google.protobuf.ValueOrBuilder`	`getSamplePredictInstanceOrBuilder()` Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
`ModelDeploymentMonitoringJob.MonitoringScheduleState`	`getScheduleState()` Output only.
`int`	`getScheduleStateValue()` Output only.
`int`	`getSerializedSize()`
`JobState`	`getState()` Output only.
`int`	`getStateValue()` Output only.
`GcsDestination`	`getStatsAnomaliesBaseDirectory()` Stats anomalies base folder path.
`GcsDestinationOrBuilder`	`getStatsAnomaliesBaseDirectoryOrBuilder()` Stats anomalies base folder path.
`com.google.protobuf.Timestamp`	`getUpdateTime()` 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.
`int`	`hashCode()`
`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.v1beta1.PredictRequest.instances], this can be set as a replacement of [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.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)`
`boolean`	`isInitialized()`
`static ModelDeploymentMonitoringJob.Builder`	`newBuilder()`
`static ModelDeploymentMonitoringJob.Builder`	`newBuilder(ModelDeploymentMonitoringJob prototype)`
`ModelDeploymentMonitoringJob.Builder`	`newBuilderForType()`
`protected ModelDeploymentMonitoringJob.Builder`	`newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)`
`protected Object`	`newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)`
`static ModelDeploymentMonitoringJob`	`parseDelimitedFrom(InputStream input)`
`static ModelDeploymentMonitoringJob`	`parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static ModelDeploymentMonitoringJob`	`parseFrom(byte[] data)`
`static ModelDeploymentMonitoringJob`	`parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static ModelDeploymentMonitoringJob`	`parseFrom(ByteBuffer data)`
`static ModelDeploymentMonitoringJob`	`parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static ModelDeploymentMonitoringJob`	`parseFrom(com.google.protobuf.ByteString data)`
`static ModelDeploymentMonitoringJob`	`parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static ModelDeploymentMonitoringJob`	`parseFrom(com.google.protobuf.CodedInputStream input)`
`static ModelDeploymentMonitoringJob`	`parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static ModelDeploymentMonitoringJob`	`parseFrom(InputStream input)`
`static ModelDeploymentMonitoringJob`	`parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static com.google.protobuf.Parser<ModelDeploymentMonitoringJob>`	`parser()`
`ModelDeploymentMonitoringJob.Builder`	`toBuilder()`
`void`	`writeTo(com.google.protobuf.CodedOutputStream output)`

Methods inherited from class com.google.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

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

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

Methods inherited from interface com.google.protobuf.MessageLite
toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail
- NAME_FIELD_NUMBER
```
public static final int NAME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- DISPLAY_NAME_FIELD_NUMBER
```
public static final int DISPLAY_NAME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ENDPOINT_FIELD_NUMBER
```
public static final int ENDPOINT_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- STATE_FIELD_NUMBER
```
public static final int STATE_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- SCHEDULE_STATE_FIELD_NUMBER
```
public static final int SCHEDULE_STATE_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- LATEST_MONITORING_PIPELINE_METADATA_FIELD_NUMBER
```
public static final int LATEST_MONITORING_PIPELINE_METADATA_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_CONFIGS_FIELD_NUMBER
```
public static final int MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_CONFIGS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- MODEL_DEPLOYMENT_MONITORING_SCHEDULE_CONFIG_FIELD_NUMBER
```
public static final int MODEL_DEPLOYMENT_MONITORING_SCHEDULE_CONFIG_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER
```
public static final int LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- MODEL_MONITORING_ALERT_CONFIG_FIELD_NUMBER
```
public static final int MODEL_MONITORING_ALERT_CONFIG_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- PREDICT_INSTANCE_SCHEMA_URI_FIELD_NUMBER
```
public static final int PREDICT_INSTANCE_SCHEMA_URI_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- SAMPLE_PREDICT_INSTANCE_FIELD_NUMBER
```
public static final int SAMPLE_PREDICT_INSTANCE_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER
```
public static final int ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- BIGQUERY_TABLES_FIELD_NUMBER
```
public static final int BIGQUERY_TABLES_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- LOG_TTL_FIELD_NUMBER
```
public static final int LOG_TTL_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- LABELS_FIELD_NUMBER
```
public static final int LABELS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- CREATE_TIME_FIELD_NUMBER
```
public static final int CREATE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- UPDATE_TIME_FIELD_NUMBER
```
public static final int UPDATE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- NEXT_SCHEDULE_TIME_FIELD_NUMBER
```
public static final int NEXT_SCHEDULE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- STATS_ANOMALIES_BASE_DIRECTORY_FIELD_NUMBER
```
public static final int STATS_ANOMALIES_BASE_DIRECTORY_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ENCRYPTION_SPEC_FIELD_NUMBER
```
public static final int ENCRYPTION_SPEC_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ENABLE_MONITORING_PIPELINE_LOGS_FIELD_NUMBER
```
public static final int ENABLE_MONITORING_PIPELINE_LOGS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ERROR_FIELD_NUMBER
```
public static final int ERROR_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values

Method Detail

newInstance

protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:: newInstance in class com.google.protobuf.GeneratedMessageV3

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

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

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

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.

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.

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.

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.v1beta1.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.

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.v1beta1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

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

getScheduleStateValue
```
public int getScheduleStateValue()
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1beta1.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.

getScheduleState
```
public ModelDeploymentMonitoringJob.MonitoringScheduleState getScheduleState()
```
```
 Output only. Schedule state when the monitoring job is in Running state.
 
```
.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getScheduleState in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The scheduleState.

hasLatestMonitoringPipelineMetadata
```
public boolean hasLatestMonitoringPipelineMetadata()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1beta1.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.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getLatestMonitoringPipelineMetadata in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The latestMonitoringPipelineMetadata.

getLatestMonitoringPipelineMetadataOrBuilder
```
public ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadataOrBuilder getLatestMonitoringPipelineMetadataOrBuilder()
```
```
 Output only. Latest triggered monitoring pipeline metadata.
 
```
.google.cloud.aiplatform.v1beta1.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.v1beta1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsList 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.v1beta1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsOrBuilderList 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.v1beta1.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.v1beta1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigs in interface ModelDeploymentMonitoringJobOrBuilder

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.v1beta1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringObjectiveConfigsOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

hasModelDeploymentMonitoringScheduleConfig
```
public boolean hasModelDeploymentMonitoringScheduleConfig()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1beta1.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.v1beta1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getModelDeploymentMonitoringScheduleConfig in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The modelDeploymentMonitoringScheduleConfig.

getModelDeploymentMonitoringScheduleConfigOrBuilder
```
public ModelDeploymentMonitoringScheduleConfigOrBuilder getModelDeploymentMonitoringScheduleConfigOrBuilder()
```
```
 Required. Schedule config for running the monitoring job.
 
```
.google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];
Specified by:

getLoggingSamplingStrategy in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The loggingSamplingStrategy.

getLoggingSamplingStrategyOrBuilder
```
public SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()
```
```
 Required. Sample Strategy for logging.
 
```
.google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
Specified by:

getModelMonitoringAlertConfig in interface ModelDeploymentMonitoringJobOrBuilder

Returns:

The modelMonitoringAlertConfig.

getModelMonitoringAlertConfigOrBuilder
```
public ModelMonitoringAlertConfigOrBuilder getModelMonitoringAlertConfigOrBuilder()
```
```
 Alert config for model monitoring.
 
```
.google.cloud.aiplatform.v1beta1.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.

hasSamplePredictInstance

public boolean hasSamplePredictInstance()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.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.

getSamplePredictInstanceOrBuilder

public com.google.protobuf.ValueOrBuilder getSamplePredictInstanceOrBuilder()

 Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.

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.v1beta1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesList 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.v1beta1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesOrBuilderList 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.v1beta1.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.v1beta1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTables in interface ModelDeploymentMonitoringJobOrBuilder

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.v1beta1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getBigqueryTablesOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

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.

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