com.google.cloud.aiplatform.v1

Interface ModelDeploymentMonitoringJobOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelDeploymentMonitoringJob, ModelDeploymentMonitoringJob.Builder

public interface ModelDeploymentMonitoringJobOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
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.
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.
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.
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.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.
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.
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.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getName

String getName()

 Output only. Resource name of a ModelDeploymentMonitoringJob.
 

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

Returns:

The name.

getNameBytes

com.google.protobuf.ByteString getNameBytes()

 Output only. Resource name of a ModelDeploymentMonitoringJob.
 

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

Returns:

The bytes for name.

getDisplayName

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];

Returns:

The displayName.

getDisplayNameBytes

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];

Returns:

The bytes for displayName.

getEndpoint

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) = { ... }

Returns:

The endpoint.

getEndpointBytes

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) = { ... }

Returns:

The bytes for endpoint.

getStateValue

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];

Returns:

The enum numeric value on the wire for state.

getState

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];

Returns:

The state.

getScheduleStateValue

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];

Returns:

The enum numeric value on the wire for scheduleState.

getScheduleState

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];

Returns:

The scheduleState.

hasLatestMonitoringPipelineMetadata

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];

Returns:

Whether the latestMonitoringPipelineMetadata field is set.

getLatestMonitoringPipelineMetadata

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];

Returns:

The latestMonitoringPipelineMetadata.

getLatestMonitoringPipelineMetadataOrBuilder

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];

getModelDeploymentMonitoringObjectiveConfigsList

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];

getModelDeploymentMonitoringObjectiveConfigs

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];

getModelDeploymentMonitoringObjectiveConfigsCount

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];

getModelDeploymentMonitoringObjectiveConfigsOrBuilderList

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];

getModelDeploymentMonitoringObjectiveConfigsOrBuilder

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];

hasModelDeploymentMonitoringScheduleConfig

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];

Returns:

Whether the modelDeploymentMonitoringScheduleConfig field is set.

getModelDeploymentMonitoringScheduleConfig

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];

Returns:

The modelDeploymentMonitoringScheduleConfig.

getModelDeploymentMonitoringScheduleConfigOrBuilder

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];

hasLoggingSamplingStrategy

boolean hasLoggingSamplingStrategy()

 Required. Sample Strategy for logging.
 

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

Returns:

Whether the loggingSamplingStrategy field is set.

getLoggingSamplingStrategy

SamplingStrategy getLoggingSamplingStrategy()

 Required. Sample Strategy for logging.
 

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

Returns:

The loggingSamplingStrategy.

getLoggingSamplingStrategyOrBuilder

SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()

 Required. Sample Strategy for logging.
 

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

hasModelMonitoringAlertConfig

boolean hasModelMonitoringAlertConfig()

 Alert config for model monitoring.
 

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

Returns:

Whether the modelMonitoringAlertConfig field is set.

getModelMonitoringAlertConfig

ModelMonitoringAlertConfig getModelMonitoringAlertConfig()

 Alert config for model monitoring.
 

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

Returns:

The modelMonitoringAlertConfig.

getModelMonitoringAlertConfigOrBuilder

ModelMonitoringAlertConfigOrBuilder getModelMonitoringAlertConfigOrBuilder()

 Alert config for model monitoring.
 

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

getPredictInstanceSchemaUri

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;

Returns:

The predictInstanceSchemaUri.

getPredictInstanceSchemaUriBytes

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;

Returns:

The bytes for predictInstanceSchemaUri.

hasSamplePredictInstance

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;

Returns:

Whether the samplePredictInstance field is set.

getSamplePredictInstance

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;

Returns:

The samplePredictInstance.

getSamplePredictInstanceOrBuilder

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;

getAnalysisInstanceSchemaUri

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;

Returns:

The analysisInstanceSchemaUri.

getAnalysisInstanceSchemaUriBytes

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;

Returns:

The bytes for analysisInstanceSchemaUri.

getBigqueryTablesList

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];

getBigqueryTables

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];

getBigqueryTablesCount

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];

getBigqueryTablesOrBuilderList

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];

getBigqueryTablesOrBuilder

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];

hasLogTtl

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;

Returns:

Whether the logTtl field is set.

getLogTtl

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;

Returns:

The logTtl.

getLogTtlOrBuilder

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;

getLabelsCount

int getLabelsCount()

 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;

containsLabels

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;

getLabels

@Deprecated
Map<String,String> getLabels()

Deprecated.

Use getLabelsMap() instead.

getLabelsMap

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;

getLabelsOrDefault

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;

getLabelsOrThrow

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;

hasCreateTime

boolean hasCreateTime()

 Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
 

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

Returns:

Whether the createTime field is set.

getCreateTime

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];

Returns:

The createTime.

getCreateTimeOrBuilder

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];

hasUpdateTime

boolean hasUpdateTime()

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

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

Returns:

Whether the updateTime field is set.

getUpdateTime

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];

Returns:

The updateTime.

getUpdateTimeOrBuilder

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];

hasNextScheduleTime

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];

Returns:

Whether the nextScheduleTime field is set.

getNextScheduleTime

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];

Returns:

The nextScheduleTime.

getNextScheduleTimeOrBuilder

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];

hasStatsAnomaliesBaseDirectory

boolean hasStatsAnomaliesBaseDirectory()

 Stats anomalies base folder path.
 

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

Returns:

Whether the statsAnomaliesBaseDirectory field is set.

getStatsAnomaliesBaseDirectory

GcsDestination getStatsAnomaliesBaseDirectory()

 Stats anomalies base folder path.
 

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

Returns:

The statsAnomaliesBaseDirectory.

getStatsAnomaliesBaseDirectoryOrBuilder

GcsDestinationOrBuilder getStatsAnomaliesBaseDirectoryOrBuilder()

 Stats anomalies base folder path.
 

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

hasEncryptionSpec

boolean hasEncryptionSpec()

 Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
 set, this ModelDeploymentMonitoringJob and all sub-resources of this
 ModelDeploymentMonitoringJob will be secured by this key.
 

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 21;

Returns:

Whether the encryptionSpec field is set.

getEncryptionSpec

EncryptionSpec getEncryptionSpec()

 Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
 set, this ModelDeploymentMonitoringJob and all sub-resources of this
 ModelDeploymentMonitoringJob will be secured by this key.
 

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 21;

Returns:

The encryptionSpec.

getEncryptionSpecOrBuilder

EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()

 Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
 set, this ModelDeploymentMonitoringJob and all sub-resources of this
 ModelDeploymentMonitoringJob will be secured by this key.
 

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 21;

getEnableMonitoringPipelineLogs

boolean getEnableMonitoringPipelineLogs()

 If true, the scheduled monitoring pipeline logs are sent to
 Google Cloud Logging, including pipeline status and anomalies detected.
 Please note the logs incur cost, which are subject to [Cloud Logging
 pricing](https://cloud.google.com/logging#pricing).
 

bool enable_monitoring_pipeline_logs = 22;

Returns:

The enableMonitoringPipelineLogs.

hasError

boolean hasError()

 Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
 

.google.rpc.Status error = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

Whether the error field is set.

getError

com.google.rpc.Status getError()

 Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
 

.google.rpc.Status error = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

The error.

getErrorOrBuilder

com.google.rpc.StatusOrBuilder getErrorOrBuilder()

 Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
 

.google.rpc.Status error = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];

getSatisfiesPzs

boolean getSatisfiesPzs()

 Output only. Reserved for future use.
 

bool satisfies_pzs = 26 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

The satisfiesPzs.

getSatisfiesPzi

boolean getSatisfiesPzi()

 Output only. Reserved for future use.
 

bool satisfies_pzi = 27 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

The satisfiesPzi.