com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringConfigOrBuilder

All Superinterfaces:

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

All Known Implementing Classes:

ModelMonitoringConfig, ModelMonitoringConfig.Builder

public interface ModelMonitoringConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
ModelMonitoringAlertConfig	getAlertConfig() Model monitoring alert config.
ModelMonitoringAlertConfigOrBuilder	getAlertConfigOrBuilder() Model monitoring alert config.
String	getAnalysisInstanceSchemaUri() YAML schema file uri in Cloud Storage 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 in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
ModelMonitoringObjectiveConfig	getObjectiveConfigs(int index) Model monitoring objective config.
int	getObjectiveConfigsCount() Model monitoring objective config.
List<ModelMonitoringObjectiveConfig>	getObjectiveConfigsList() Model monitoring objective config.
ModelMonitoringObjectiveConfigOrBuilder	getObjectiveConfigsOrBuilder(int index) Model monitoring objective config.
List<? extends ModelMonitoringObjectiveConfigOrBuilder>	getObjectiveConfigsOrBuilderList() Model monitoring objective config.
GcsDestination	getStatsAnomaliesBaseDirectory() A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.
GcsDestinationOrBuilder	getStatsAnomaliesBaseDirectoryOrBuilder() A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.
boolean	hasAlertConfig() Model monitoring alert config.
boolean	hasStatsAnomaliesBaseDirectory() A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.

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

getObjectiveConfigsList

List<ModelMonitoringObjectiveConfig> getObjectiveConfigsList()

 Model monitoring objective config.
 

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

getObjectiveConfigs

ModelMonitoringObjectiveConfig getObjectiveConfigs(int index)

 Model monitoring objective config.
 

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

getObjectiveConfigsCount

int getObjectiveConfigsCount()

 Model monitoring objective config.
 

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

getObjectiveConfigsOrBuilderList

List<? extends ModelMonitoringObjectiveConfigOrBuilder> getObjectiveConfigsOrBuilderList()

 Model monitoring objective config.
 

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

getObjectiveConfigsOrBuilder

ModelMonitoringObjectiveConfigOrBuilder getObjectiveConfigsOrBuilder(int index)

 Model monitoring objective config.
 

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

hasAlertConfig

boolean hasAlertConfig()

 Model monitoring alert config.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

Returns:

Whether the alertConfig field is set.

getAlertConfig

ModelMonitoringAlertConfig getAlertConfig()

 Model monitoring alert config.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

Returns:

The alertConfig.

getAlertConfigOrBuilder

ModelMonitoringAlertConfigOrBuilder getAlertConfigOrBuilder()

 Model monitoring alert config.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

getAnalysisInstanceSchemaUri

String getAnalysisInstanceSchemaUri()

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

 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 = 4;

Returns:

The analysisInstanceSchemaUri.

getAnalysisInstanceSchemaUriBytes

com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes()

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

 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 = 4;

Returns:

The bytes for analysisInstanceSchemaUri.

hasStatsAnomaliesBaseDirectory

boolean hasStatsAnomaliesBaseDirectory()

 A Google Cloud Storage location for batch prediction model monitoring to
 dump statistics and anomalies.
 If not provided, a folder will be created in customer project to hold
 statistics and anomalies.
 

.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;

Returns:

Whether the statsAnomaliesBaseDirectory field is set.

getStatsAnomaliesBaseDirectory

GcsDestination getStatsAnomaliesBaseDirectory()

 A Google Cloud Storage location for batch prediction model monitoring to
 dump statistics and anomalies.
 If not provided, a folder will be created in customer project to hold
 statistics and anomalies.
 

.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;

Returns:

The statsAnomaliesBaseDirectory.

getStatsAnomaliesBaseDirectoryOrBuilder

GcsDestinationOrBuilder getStatsAnomaliesBaseDirectoryOrBuilder()

 A Google Cloud Storage location for batch prediction model monitoring to
 dump statistics and anomalies.
 If not provided, a folder will be created in customer project to hold
 statistics and anomalies.
 

.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;